resources-v2022-extra.tsv

id	title	url	topic_name	topic_id	author	medium	venue	year
23	Advanced Dynamic Programming in CL: Theory, Algorithms, and Applications	http://web.engr.oregonstate.edu/~huanlian/slides/COLING-tutorial-anim.pdf	NULL	NULL	Liang Huang	Tutorials	Venue Unknown	2008
116	The Logic of AMR	https://github.com/nschneid/amr-tutorial/blob/master/slides/AMR-TUTORIAL-FULL.pdf	NULL	NULL	Nathan Schneider, Jeff Flanigan, Tim O'Gorman	Tutorials	Venue Unknown	2016
136	Natural Language Processing Tools for the Digital Humanities	http://nlp.stanford.edu/~manning/courses/DigitalHumanities/DH2011-Manning.pdf	NULL	NULL	Christopher Manning	Tutorials	Venue Unknown	2011
171	Introduction to Webometrics: Quantitative Web Research for the Social Sciences	https://www.morganclaypool.com/doi/abs/10.2200/S00176ED1V01Y200903ICR004	NULL	NULL	Michael Thelwall	Surveys	Venue Unknown	2008
203	Automated Text summarization	http://www.isi.edu/~marcu/acl-tutorial.ppt	NULL	NULL	Eduard Hovy, Daniel Marcu	Tutorials	Venue Unknown	1998
204	Structured Belief Propagation for NLP	http://www.cs.cmu.edu/~mgormley/bp-tutorial/bp-tutorial.pptx	NULL	NULL	Matthew R. Gormley & Jason Eisner	Tutorials	Venue Unknown	2015
205	Successful Data Mining Methods for NLP	http://hanj.cs.illinois.edu/slides/dmnlp15.pptx	NULL	NULL	Jiawei Han, Heng Ji, Yizhou Sun	Tutorials	Venue Unknown	2015
206	Competitive Grammar Writing	https://www.cs.jhu.edu/~jason/papers/eisner+smith.tnlp08.ppt	NULL	NULL	Jason Eisner, Noah A. Smith	Tutorials	Venue Unknown	2008
207	Memory Networks for Language Understanding	http://www.thespermwhale.com/jaseweston/icml2016/icml2016-memnn-tutorial.pdf	NULL	NULL	Jason Weston	Tutorials	Venue Unknown	2016
210	Scalable Large-Margin Structured Learning: Theory and Algorithms	http://www.aclweb.org/anthology/P14-6002	NULL	NULL	Liang Huang, Kai Zhao, Lemao Liu	Tutorials	Venue Unknown	2014
229	The Heads and Tails of Huffman	http://www.nacloweb.org/resources/problems/2013/N2013-C.pdf	NULL	NULL	John DeNero	NACLO Problems	Venue Unknown	2013
234	A Tree by Any Other Name	http://www.nacloweb.org/resources/problems/2013/N2013-N.pdf	NULL	NULL	John DeNero	NACLO Problems	Venue Unknown	2013
312	Domain Adaptation	http://adaptationtutorial.blitzer.com/	NULL	NULL	John Blitzer, Hal Daume	Tutorials	ICML	2010
337	Convex Optimization: Algorithms and Complexity	https://arxiv.org/abs/1405.4980	NULL	NULL	Sebastien Bubeck	Surveys	Foundations and Trends in Machine Learning	2015
342	Matrices in Engineering Problems	http://www.dblab.ntua.gr/~gtsat/collection/Morgan%20Claypool/s00352ed1v01y201105mas010.pdf	NULL	NULL	Marvin J. Tobias	Surveys	Venue Unknown	2011
712	FastText	https://research.fb.com/projects/fasttext/	NULL	NULL	Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, Armand Joulin	Libraries	Venue Unknown	2016
971	University of South Florida Free Association Norms	http://w3.usf.edu/FreeAssociation/	NULL	NULL	Douglas L. Nelson, Cathy L. McEvoy, Thomas A. Schreiber	Corpora	Venue Unknown	1998
1888	Three Sins of Authors in Computer Science and Math	http://www.cs.cmu.edu/~jrs/sins.html	NULL	NULL	Jonathan Shewchuk	Tutorials	Venue Unknown	1996
1889	Giving an Academic Talk	http://www.cs.berkeley.edu/~jrs/speaking.html	NULL	NULL	Jonathan Shewchuk	Tutorials	Venue Unknown	1996
2880	Graph Search Algorithms	https://cs.stanford.edu/people/abisee/gs.pdf	NULL	NULL	Steve Mussmann and Abi See	Tutorials	Venue Unknown	2017
2899	Intro to RST: Rhetorical Structure Theory	https://www.sfu.ca/rst/pdfs/RST_Introduction.pdf	NULL	NULL	Maite Taboada and Manfred Stede	Tutorials	Venue Unknown	2009
3280	Diffbot PHP API	https://github.com/Swader/diffbot-php-client	NULL	NULL	Bruno Kvorc	Libraries	Github	2017
3283	Financial News Dataset from Bloomberg and Reuters	https://github.com/philipperemy/financial-news-dataset	NULL	NULL	Philippe R?my	Corpora	Github	2017
3284	Thai Natural Language Processing (Thai NLP) Resources	https://github.com/kobkrit/nlp_thai_resources	NULL	NULL	Kobkrit Viriyayudhakorn	Libraries	Github	2017
3286	Automated Hate Speech Detection and the Problem of Offensive Language	https://github.com/t-davidson/hate-speech-and-offensive-language	NULL	NULL	Tom Davidson	Libraries	Github	2017
3288	News-please: Interactive web news crawler	https://github.com/fhamborg/news-please	NULL	NULL	Felix Hamborg	Libraries	Github	2017
6220	Einsum is all you need - Einstein Summation in Deep Learning	https://rockt.github.io/2018/04/30/einsum	NULL	NULL	Tim Rocktäschel	Tutorials	GitHub	2018
6250	NeuroNLP: Deep neural models for core NLP tasks based on Pytorch	https://github.com/XuezheMax/NeuroNLP2	NULL	NULL	Max Ma	Libraries	GitHub	2018
6341	Confidence Intervals and Hypothesis Testing	http://idiom.ucsd.edu/~rlevy/pmsl_textbook/chapters/pmsl_5.pdf	NULL	NULL	Roger Levy	Tutorials	UCSD	2012
6344	Mathematics Notation and Overview	http://idiom.ucsd.edu/~rlevy/pmsl_textbook/chapters/pmsl_10.pdf	NULL	NULL	Roger Levy	Tutorials	UCSD	2012
6345	More Probability Distributions and Related Mathematical Constructs	http://idiom.ucsd.edu/~rlevy/pmsl_textbook/chapters/pmsl_11.pdf	NULL	NULL	Roger Levy	Tutorials	UCSD	2012
6385	Adversarial Machine Learning Tutorial	https://aaai18adversarial.github.io/slides/AML.pptx	NULL	NULL	Yevgeniy Vorobeychik	Tutorials	GitHub	2018
6386	Secure Learning in Adversarial Deep Learning Networks	https://aaai18adversarial.github.io/slides/bo_aaai18.pdf	NULL	NULL	Bo Li	Tutorials	GitHub	2018
6420	How to Visualize a Deep Learning Neural Network Model in Keras	https://machinelearningmastery.com/visualize-deep-learning-neural-network-model-keras/	NULL	NULL	Jason Brownlee	Tutorials	Venue Unknown	2017
6427	Hello Word Program In Tensorflow with RNN	https://buzzrobot.com/hello-word-program-in-tensorflow-eb4b607e197c	NULL	NULL	Parth Vadhadiya	Resources	Venue Unknown	2018
6440	An applied introduction to generative adversarial networks	https://www.oreilly.com/ideas/an-applied-introduction-to-generative-adversarial-networks	NULL	NULL	Ankur Patel	Tutorials	O'Reilly	2017
6839	Imbalanced Data and Reductions	http://www.cs.umd.edu/class/spring2018/cmsc422-0101/slides0201/lecture_09.pdf	NULL	NULL	Furong Huang	Lectures	UMD	2018
8342	Graphical models and variational methods: Message-passing, convex relaxations, and all that	https://people.eecs.berkeley.edu/~wainwrig/icml08/Wainwright_ICML08.pdf	NULL	NULL	Martin Wanwright	Tutorials	ICML08	2018
8344	Graphical Models	http://pages.cs.wisc.edu/~jerryzhu/pub/ZhuKDD12.pdf	NULL	NULL	Xiaojin Zhu	Tutorials	KDD 2012	2012
8522	Networks, Reinforcement, Relational, Recurrent, Learning	https://www.cl.cam.ac.uk/~pv273/slides/MILA-RN.pdf	NULL	NULL	Petar Velickovic	Tutorials	MILA Graph Representation Reading Group Meeting	1800
8686	How to Configure the Number of Layers and Nodes in a Neural Network	https://machinelearningmastery.com/how-to-configure-the-number-of-layers-and-nodes-in-a-neural-network/	NULL	NULL	Jason Brownlee	Resources	Machine Learning Mastery	2018
8769	Deep Latent Factor Models and Variational Inference with Backprop	https://towardsdatascience.com/deep-latent-factor-models-and-variational-inference-with-backprop-89d4aae0fe34	NULL	NULL	Semih Akbayrak	Resources	Towards Data Science	2018
10777	Neural Machine Translation with Attention  |  TensorFlow Core 2.0a  |  TensorFlow	https://www.tensorflow.org/alpha/tutorials/text/nmt_with_attention	NULL	NULL		NULL		NULL
10781	Introduction to Natural Language Processing (NLP) and Bias in AI	https://towardsdatascience.com/introduction-to-natural-language-processing-nlp-and-bias-in-ai-877d3f3ee680	NULL	NULL		NULL		2019
10782	Implementing different variants of Gradient Descent Optimization Algorithm in Python using Numpy	https://hackernoon.com/implementing-different-variants-of-gradient-descent-optimization-algorithm-in-python-using-numpy-809e7ab3bab4	NULL	NULL		NULL		2019
10783	Text Generation Using Recurrent Neural Networks – Towards Data Science	https://towardsdatascience.com/text-generation-using-rnns-fdb03a010b9f	NULL	NULL		NULL		2018
10784	An overview of proxy-label approaches for semi-supervised learning	http://ruder.io/semi-supervised/	NULL	NULL		NULL		2018
10785	Hyperparameter optimization in python. Part 1: Scikit-Optimize.	https://towardsdatascience.com/hyperparameter-optimization-in-python-part-1-scikit-optimize-754e485d24fe	NULL	NULL		NULL		2019
10786	Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph.	https://towardsdatascience.com/extracting-knowledge-from-knowledge-graphs-e5521e4861a0	NULL	NULL		NULL		2019
10787	How Self-Attention with Relative Position Representations works	https://medium.com/@_init_/how-self-attention-with-relative-position-representations-works-28173b8c245a	NULL	NULL		NULL		2019
10788	Introduction to Natural Language Processing for Text	https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63	NULL	NULL		NULL		2018
10789	Summarization — OpenNMT-py  documentation	http://opennmt.net/OpenNMT-py/Summarization.html	NULL	NULL		NULL		NULL
10790	The Complete Guide to Decision Trees – Towards Data Science	https://towardsdatascience.com/the-complete-guide-to-decision-trees-28a4e3c7be14	NULL	NULL		NULL		2019
10860	403 Forbidden	https://www.topbots.com/deconstructing-bert-part-1/	NULL	NULL		NULL		NULL
10861	403 Forbidden	https://www.topbots.com/deconstructing-bert-part-2/	NULL	NULL		NULL		NULL
10862	403 Forbidden	https://www.topbots.com/openai-gpt-2-visualization/	NULL	NULL		Tutorials		NULL
10863	GPT-2: How to Build "The AI That's Too Dangerous to Release”	https://blog.floydhub.com/gpt2/	NULL	NULL		NULL		2019
10864	Google's Natural Questions	https://ai.google.com/research/NaturalQuestions/leaderboard	NULL	NULL		NULL		NULL
10865	GLUE Benchmark	https://gluebenchmark.com/leaderboard	NULL	NULL		NULL		NULL
10866	AI2 Leaderboard	https://leaderboard.allenai.org/arc/submissions/public	NULL	NULL		NULL		NULL
10867	Spider: Yale Semantic Parsing and Text-to-SQL Challenge	https://yale-lily.github.io/spider	NULL	NULL		NULL		NULL
10870	MS MARCO - Leaderboard	http://www.msmarco.org/leaders.aspx	NULL	NULL		NULL		NULL
10872	Tracking the Progress in Natural Language Processing	http://ruder.io/tracking-progress-nlp/	NULL	NULL		NULL		2018
10873	Question answering | NLP-progress	http://nlpprogress.com/english/question_answering.html	NULL	NULL		NULL		NULL
10874	Question Answering in Context	https://quac.ai/	NULL	NULL		NULL		NULL
10875	Leaderboard | tau-nlp	https://www.tau-nlp.org/csqa-leaderboard	NULL	NULL		NULL		NULL
10876	SEMPRE: Semantic Parsing with Execution	https://nlp.stanford.edu/software/sempre/	NULL	NULL		NULL		NULL
10879	decaNLP	https://decanlp.com/	NULL	NULL		NULL		NULL
10880	CodaLab Worksheets	https://worksheets.codalab.org/worksheets/0xba659fe363cb46e7a505c5b6a774dc8a/	NULL	NULL		NULL		NULL
10881	Fact Extraction and VERification	http://fever.ai/task.html	NULL	NULL		NULL		NULL
10882	Fake News Challenge	http://www.fakenewschallenge.org/	NULL	NULL		NULL		NULL
10883	MultiNLI	https://www.nyu.edu/projects/bowman/multinli/	NULL	NULL		NULL		NULL
10885	2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)	http://sharedtask.duolingo.com/	NULL	NULL		NULL		NULL
10887	AI2 Leaderboard	https://leaderboard.allenai.org/	NULL	NULL		NULL		NULL
10889	AI2 Leaderboard	https://leaderboard.allenai.org/arc_easy/submissions/public	NULL	NULL		NULL		NULL
10890	AI2 Leaderboard	https://leaderboard.allenai.org/open_book_qa/submissions/public	NULL	NULL		NULL		NULL
10891	AI2 Leaderboard	https://leaderboard.allenai.org/propara/submissions/public	NULL	NULL		NULL		NULL
10892	AI2 Leaderboard	https://leaderboard.allenai.org/scitail/submissions/public	NULL	NULL		NULL		NULL
10893	AI2 Leaderboard	https://leaderboard.allenai.org/swag/submissions/public	NULL	NULL		NULL		NULL
10894	ATOMIC Knowledge Graph Browser	https://homes.cs.washington.edu/~msap/atomic/	NULL	NULL		NULL		NULL
10895	Another Twitter sentiment analysis with Python — Part 11 (CNN + Word2Vec)	https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-11-cnn-word2vec-41f5e28eda74	NULL	NULL		NULL		2018
10896	Causal Inference 3: Counterfactuals	https://www.inference.vc/causal-inference-3-counterfactuals/	NULL	NULL		NULL		NULL
10897	An Overview of Categorical Input Handling for Neural Networks	https://towardsdatascience.com/an-overview-of-categorical-input-handling-for-neural-networks-c172ba552dee	NULL	NULL		NULL		2019
10898	The Poisson Distribution and Poisson Process Explained	https://towardsdatascience.com/the-poisson-distribution-and-poisson-process-explained-4e2cb17d459	NULL	NULL		NULL		2019
10899	Building an Efficient Neural Language Model Over a Billion Words - Facebook Research	https://research.fb.com/building-an-efficient-neural-language-model-over-a-billion-words/	NULL	NULL		NULL		NULL
10900	Think your Data Different - Taboola Tech Blog	https://engineering.taboola.com/think-data-different/	NULL	NULL		NULL		NULL
10901	Predicting Probability Distributions Using Neural Networks - Taboola Tech Blog	https://engineering.taboola.com/predicting-probability-distributions/	NULL	NULL		NULL		NULL
10902	Monte Carlo Simulations with Python (Part 1) – Towards Data Science	https://towardsdatascience.com/monte-carlo-simulations-with-python-part-1-f5627b7d60b0	NULL	NULL		NULL		2019
10903	Overview of DGL — DGL 0.2 documentation	https://docs.dgl.ai/	NULL	NULL		NULL		NULL
10904	Are BERT Features InterBERTible? – TheLocalMinima – Medium	https://medium.com/thelocalminima/are-bert-features-interbertible-250a91eb9dc	NULL	NULL		NULL		2019
10905	Deep Autoencoders For Collaborative Filtering – Towards Data Science	https://towardsdatascience.com/deep-autoencoders-for-collaborative-filtering-6cf8d25bbf1d	NULL	NULL		NULL		2018
10906	StanfordNLP - Python NLP Library for Many Human Languages   | StanfordNLP	https://stanfordnlp.github.io/stanfordnlp/	NULL	NULL		NULL		NULL
10907	GitHub - unit8co/vegans: A library providing various existing GANs in PyTorch.	https://github.com/unit8co/vegans	NULL	NULL		NULL		NULL
10908	GitHub - dmis-lab/biobert: BioBERT: a pre-trained biomedical language representation model for biomedical text mining	https://github.com/dmis-lab/biobert	NULL	NULL		NULL		NULL
10910	403 Forbidden	https://www.topbots.com/most-important-ai-nlp-research/	NULL	NULL		NULL		NULL
10911	GitHub - EdinburghNLP/XSum: Topic-Aware Convolutional Neural Networks for Extreme Summarization	https://github.com/EdinburghNLP/XSum	NULL	NULL		NULL		NULL
10912	GitHub - rohithreddy024/Text-Summarizer-Pytorch: Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network	https://github.com/rohithreddy024/Text-Summarizer-Pytorch	NULL	NULL		NULL		NULL
10913	Understanding Recurrent Neural Networks (RNNs) from Scratch	https://www.analyticsvidhya.com/blog/2019/01/fundamentals-deep-learning-recurrent-neural-networks-scratch-python/	NULL	NULL		NULL		2019
10914	GitHub - spyysalo/s800: Tools for working with the S800 corpus	https://github.com/spyysalo/s800	NULL	NULL		NULL		NULL
10915	GitHub - acohan/long-summarization: Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"	https://github.com/acohan/long-summarization	NULL	NULL		NULL		NULL
10918	GitHub - huggingface/100-times-faster-nlp:	https://github.com/huggingface/100-times-faster-nlp	NULL	NULL		NULL		NULL
10920	GitHub - krishnaik06/Dimesnsionality-Reduction	https://github.com/krishnaik06/Dimesnsionality-Reduction	NULL	NULL		NULL		NULL
10921	A Complete View of Decision Trees and SVM in Machine Learning	https://towardsdatascience.com/a-complete-view-of-decision-trees-and-svm-in-machine-learning-f9f3d19a337b	NULL	NULL		NULL		2019
10922	Your Guide to Natural Language Processing (NLP) – Towards Data Science	https://towardsdatascience.com/your-guide-to-natural-language-processing-nlp-48ea2511f6e1	NULL	NULL		NULL		2019
10923	This Is How Twitter Sees The World : Sentiment Analysis Part One	https://towardsdatascience.com/the-real-world-as-seen-on-twitter-sentiment-analysis-part-one-5ac2d06b63fb	NULL	NULL		NULL		2018
10924	Implementing Naive Bayes for Sentiment Analysis in Python	https://medium.com/datadriveninvestor/implementing-naive-bayes-for-sentiment-analysis-in-python-951fa8dcd928	NULL	NULL		NULL		2019
10925	Must-Read NLP Tutorial on Neural Machine Translation (Powering Google)	https://www.analyticsvidhya.com/blog/2019/01/neural-machine-translation-keras/	NULL	NULL		NULL		2019
10926	Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning	https://towardsdatascience.com/advanced-reinforcement-learning-6d769f529eb3	NULL	NULL		NULL		2018
10928	Neural Machine Translation with Attention Using PyTorch	https://medium.com/dair-ai/neural-machine-translation-with-attention-using-pytorch-a66523f1669f	NULL	NULL		NULL		2019
10929	GitHub - omarsar/pytorch_neural_machine_translation_attention: Neural Machine Translation with Attention (PyTorch)	https://github.com/omarsar/pytorch_neural_machine_translation_attention	NULL	NULL		NULL		NULL
10930	Hallo multilingual BERT, co?mo funcionas? – omni:us – Medium	https://medium.com/omnius/hallo-multilingual-bert-c%C3%B3mo-funcionas-2b3406cc4dc2	NULL	NULL		NULL		2019
10931	bert/multilingual.md at master · google-research/bert · GitHub	https://github.com/google-research/bert/blob/master/multilingual.md	NULL	NULL		NULL		NULL
10932	LASER/data/tatoeba/v1 at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/data/tatoeba/v1	NULL	NULL		NULL		NULL
10933	LASER/tasks/mldoc at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/mldoc	NULL	NULL		NULL		NULL
10934	LASER/tasks/xnli at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/xnli	NULL	NULL		NULL		NULL
10935	LASER/tasks/similarity at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/similarity	NULL	NULL		NULL		NULL
10936	LASER/tasks/embed at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/embed	NULL	NULL		NULL		NULL
10937	LASER/tasks/bucc at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/bucc	NULL	NULL		NULL		NULL
10939	Papers With Code : Machine Translation	https://paperswithcode.com/task/machine-translation	NULL	NULL		NULL		NULL
10940	Papers With Code : Unsupervised Machine Translation	https://paperswithcode.com/task/unsupervised-machine-translation	NULL	NULL		NULL		NULL
10944	Papers With Code : Language Modelling	https://paperswithcode.com/task/language-modeling	NULL	NULL		NULL		NULL
10946	Papers With Code : Question Answering	https://paperswithcode.com/task/question-answering	NULL	NULL		NULL		NULL
10947	Papers With Code : Open-Domain Question Answering	https://paperswithcode.com/task/open-domain-question-answering	NULL	NULL		NULL		NULL
10948	Papers With Code : Answer Selection	https://paperswithcode.com/task/answer-selection	NULL	NULL		NULL		NULL
10949	Papers With Code : Community Question Answering	https://paperswithcode.com/task/community-question-answering	NULL	NULL		NULL		NULL
10953	Papers With Code : Twitter Sentiment Analysis	https://paperswithcode.com/task/twitter-sentiment-analysis	NULL	NULL		NULL		NULL
10954	Papers With Code : Aspect-Based Sentiment Analysis	https://paperswithcode.com/task/aspect-based-sentiment-analysis	NULL	NULL		NULL		NULL
10955	Papers With Code : Fine-Grained Opinion Analysis	https://paperswithcode.com/task/fine-grained-opinion-analysis	NULL	NULL		NULL		NULL
10956	Papers With Code : Text Generation	https://paperswithcode.com/task/text-generation	NULL	NULL		NULL		NULL
10957	Papers With Code : Dialogue Generation	https://paperswithcode.com/task/dialogue-generation	NULL	NULL		NULL		NULL
10959	Papers With Code : Paraphrase Generation	https://paperswithcode.com/task/paraphrase-generation	NULL	NULL		NULL		NULL
10963	Papers With Code : Natural Language Inference	https://paperswithcode.com/task/natural-language-inference	NULL	NULL		NULL		NULL
10965	Papers With Code : Reading Comprehension	https://paperswithcode.com/task/reading-comprehension	NULL	NULL		NULL		NULL
10967	Papers With Code : Named Entity Recognition (NER)	https://paperswithcode.com/task/named-entity-recognition	NULL	NULL		NULL		NULL
10969	Papers With Code : Named Entity Recognition In Vietnamese	https://paperswithcode.com/task/named-entity-recognition-in-vietnamese	NULL	NULL		NULL		NULL
10971	Papers With Code : Abstractive Text Summarization	https://paperswithcode.com/task/abstractive-text-summarization	NULL	NULL		NULL		NULL
10972	Papers With Code : Text Summarization	https://paperswithcode.com/task/text-summarization	NULL	NULL		NULL		NULL
10973	Papers With Code : Document Summarization	https://paperswithcode.com/task/document-summarization	NULL	NULL		NULL		NULL
10974	Papers With Code : Multi-Document Summarization	https://paperswithcode.com/task/multi-document-summarization	NULL	NULL		NULL		NULL
10975	Papers With Code : Extractive Document Summarization	https://paperswithcode.com/task/extractive-document-summarization	NULL	NULL		NULL		NULL
10977	Papers With Code : Sentence Embeddings	https://paperswithcode.com/task/sentence-embeddings	NULL	NULL		NULL		NULL
10979	Papers With Code : Phrase Grounding	https://paperswithcode.com/task/phrase-grounding	NULL	NULL		NULL		NULL
10981	Papers With Code : Sentence Compression	https://paperswithcode.com/task/sentence-compression	NULL	NULL		NULL		NULL
10982	Papers With Code : Dependency Parsing	https://paperswithcode.com/task/dependency-parsing	NULL	NULL		NULL		NULL
10986	Papers With Code : Semantic Parsing	https://paperswithcode.com/task/semantic-parsing	NULL	NULL		NULL		NULL
10987	Papers With Code : Semantic Textual Similarity	https://paperswithcode.com/task/semantic-textual-similarity	NULL	NULL		NULL		NULL
10991	Papers With Code : Goal-Oriented Dialog	https://paperswithcode.com/task/goal-oriented-dialog	NULL	NULL		NULL		NULL
10992	Papers With Code : Task-Oriented Dialogue Systems	https://paperswithcode.com/task/task-oriented-dialogue-systems	NULL	NULL		NULL		NULL
10995	Papers With Code : Part-Of-Speech Tagging	https://paperswithcode.com/task/part-of-speech-tagging	NULL	NULL		NULL		NULL
10996	Papers With Code : Relation Extraction	https://paperswithcode.com/task/relation-extraction	NULL	NULL		NULL		NULL
10997	Papers With Code : Document Classification	https://paperswithcode.com/task/document-classification	NULL	NULL		NULL		NULL
10998	Papers With Code : Semantic Role Labeling	https://paperswithcode.com/task/semantic-role-labeling	NULL	NULL		NULL		NULL
10999	Papers With Code : Chunking	https://paperswithcode.com/task/chunking	NULL	NULL		NULL		NULL
11001	Papers With Code : Opinion Mining	https://paperswithcode.com/task/opinion-mining	NULL	NULL		NULL		NULL
11006	Papers With Code : Text Categorization	https://paperswithcode.com/task/text-categorization	NULL	NULL		NULL		NULL
11007	Papers With Code : Sentence Classification	https://paperswithcode.com/task/sentence-classification	NULL	NULL		NULL		NULL
11009	Papers With Code : Few-Shot Relation Classification	https://paperswithcode.com/task/few-shot-relation-classification	NULL	NULL		NULL		NULL
11010	Papers With Code : Implicit Discourse Relation Classification	https://paperswithcode.com/task/implicit-discourse-relation-classificati	NULL	NULL		NULL		NULL
11011	Papers With Code : Coreference Resolution	https://paperswithcode.com/task/coreference-resolution	NULL	NULL		NULL		NULL
11012	Papers With Code : Paraphrase Identification	https://paperswithcode.com/task/paraphrase-identification	NULL	NULL		NULL		NULL
11013	Papers With Code : Slot Filling	https://paperswithcode.com/task/slot-filling	NULL	NULL		NULL		NULL
11015	Papers With Code : Constituency Parsing	https://paperswithcode.com/task/constituency-parsing	NULL	NULL		NULL		NULL
11016	Papers With Code : Word Sense Disambiguation	https://paperswithcode.com/task/word-sense-disambiguation	NULL	NULL		NULL		NULL
11017	Papers With Code : Machine Reading Comprehension	https://paperswithcode.com/task/machine-reading-comprehension	NULL	NULL		NULL		NULL
11019	Papers With Code : Cross-Lingual Transfer	https://paperswithcode.com/task/cross-lingual-transfer	NULL	NULL		NULL		NULL
11020	Papers With Code : Cross-Lingual Entity Linking	https://paperswithcode.com/task/cross-lingual-entity-linking	NULL	NULL		NULL		NULL
11023	Papers With Code : Entity Linking	https://paperswithcode.com/task/entity-linking	NULL	NULL		NULL		NULL
11024	Papers With Code : Morphological Analysis	https://paperswithcode.com/task/morphological-analysis	NULL	NULL		NULL		NULL
11025	Papers With Code : Ad-Hoc Information Retrieval	https://paperswithcode.com/task/ad-hoc-information-retrieval	NULL	NULL		NULL		NULL
11026	Papers With Code : Language Identification	https://paperswithcode.com/task/language-identification	NULL	NULL		NULL		NULL
11027	Papers With Code : Grammatical Error Correction	https://paperswithcode.com/task/grammatical-error-correction	NULL	NULL		NULL		NULL
11028	Papers With Code : Stance Detection	https://paperswithcode.com/task/stance-detection	NULL	NULL		NULL		NULL
11029	Papers With Code : Subjectivity Analysis	https://paperswithcode.com/task/subjectivity-analysis	NULL	NULL		NULL		NULL
11030	Papers With Code : Entity Extraction	https://paperswithcode.com/task/entity-extraction	NULL	NULL		NULL		NULL
11031	Papers With Code : Sarcasm Detection	https://paperswithcode.com/task/sarcasm-detection	NULL	NULL		NULL		NULL
11036	Papers With Code : Language Acquisition	https://paperswithcode.com/task/language-acquisition	NULL	NULL		NULL		NULL
11037	Papers With Code : Word Sense Induction	https://paperswithcode.com/task/word-sense-induction	NULL	NULL		NULL		NULL
11038	Papers With Code : Text Simplification	https://paperswithcode.com/task/text-simplification	NULL	NULL		Resources		NULL
11039	Papers With Code : Intent Detection	https://paperswithcode.com/task/intent-detection	NULL	NULL		NULL		NULL
11040	Papers With Code : Intent Classification	https://paperswithcode.com/task/intent-classification	NULL	NULL		NULL		NULL
11041	Papers With Code : Clickbait Detection	https://paperswithcode.com/task/clickbait-detection	NULL	NULL		NULL		NULL
11043	Papers With Code : Fake News Detection	https://paperswithcode.com/task/fake-news-detection	NULL	NULL		NULL		NULL
11044	Papers With Code : Relationship Extraction (Distant Supervised)	https://paperswithcode.com/task/relationship-extraction	NULL	NULL		NULL		NULL
11045	Papers With Code : Predicate Detection	https://paperswithcode.com/task/predicate-detection	NULL	NULL		NULL		NULL
11048	Papers With Code : Lexical Simplification	https://paperswithcode.com/task/lexical-simplification	NULL	NULL		NULL		NULL
11049	Papers With Code : Lexical Analysis	https://paperswithcode.com/task/lexical-analysis	NULL	NULL		NULL		NULL
11050	Papers With Code : CCG Supertagging	https://paperswithcode.com/task/ccg-supertagging	NULL	NULL		NULL		NULL
11051	Papers With Code : Dialog Act Classification	https://paperswithcode.com/task/dialog-act-classification	NULL	NULL		NULL		NULL
11052	Papers With Code : Passage Re-Ranking	https://paperswithcode.com/task/passage-re-ranking	NULL	NULL		NULL		NULL
11053	Papers With Code : Temporal Information Extraction	https://paperswithcode.com/task/temporal-information-extraction	NULL	NULL		NULL		NULL
11054	Papers With Code : Information Extraction	https://paperswithcode.com/task/information-extraction	NULL	NULL		NULL		NULL
11057	Papers With Code : Semantic Role Labeling (predicted predicates)	https://paperswithcode.com/task/semantic-role-labeling-predicted-predic	NULL	NULL		NULL		NULL
11058	Papers With Code : Hypernym Discovery	https://paperswithcode.com/task/hypernym-discovery	NULL	NULL		NULL		NULL
11060	Papers With Code : Dialogue Act Classification	https://paperswithcode.com/task/dialogue-act-classification	NULL	NULL		NULL		NULL
11061	Papers With Code : Nested Mention Recognition	https://paperswithcode.com/task/nested-mention-recognition	NULL	NULL		NULL		NULL
11062	Papers With Code : Entity Alignment	https://paperswithcode.com/task/entity-alignment	NULL	NULL		NULL		NULL
11066	Papers With Code : Web Page Tagging	https://paperswithcode.com/task/web-page-tagging	NULL	NULL		NULL		NULL
11067	Papers With Code : Lexical Normalization	https://paperswithcode.com/task/lexical-normalization	NULL	NULL		NULL		NULL
11070	Papers With Code : Negation Detection	https://paperswithcode.com/task/negation-detection	NULL	NULL		NULL		NULL
11071	Papers With Code : Bridging Anaphora Resolution	https://paperswithcode.com/task/bridging-anaphora-resolution	NULL	NULL		NULL		NULL
11077	Papers With Code : News Annotation	https://paperswithcode.com/task/news-annotation	NULL	NULL		NULL		NULL
11078	Generalized Language Models	https://lilianweng.github.io/lil-log/2019/01/31/generalized-language-models.html	NULL	NULL		NULL		2019
11079	Building Recurrent Neural Networks in Tensorflow – Ahmet Taspinar	http://ataspinar.com/2018/07/05/building-recurrent-neural-networks-in-tensorflow/	NULL	NULL		NULL		2018
11081	GitHub - dongjun-Lee/text-summarization-tensorflow: Tensorflow seq2seq Implementation of Text Summarization.	https://github.com/dongjun-Lee/text-summarization-tensorflow	NULL	NULL		NULL		NULL
11082	GitHub - theamrzaki/text_summurization_abstractive_methods: Multiple implementations for abstractive text summurization , using google colab	https://github.com/theamrzaki/text_summurization_abstractive_methods	NULL	NULL		NULL		NULL
11083	Abstractive Text Summarization (tutorial  2) , Text Representation made very easy	https://hackernoon.com/abstractive-text-summarization-tutorial-2-text-representation-made-very-easy-ef4511a1a46	NULL	NULL		NULL		2019
11084	Probability — Fundamentals of Machine Learning (Part 1)	https://towardsdatascience.com/probability-fundamentals-of-machine-learning-part-1-a156b4703e69	NULL	NULL		NULL		2019
11085	GitHub - VIDA-NYU/ache: ACHE is a web crawler for domain-specific search.	https://github.com/ViDA-NYU/ache	NULL	NULL		NULL		NULL
11086	Tutorial on Monte Carlo Tree Search - The Algorithm Behind AlphaGo	https://www.analyticsvidhya.com/blog/2019/01/monte-carlo-tree-search-introduction-algorithm-deepmind-alphago/	NULL	NULL		NULL		2019
11087	Google AI Blog: Real-time Continuous Transcription with Live Transcribe	https://ai.googleblog.com/2019/02/real-time-continuous-transcription-with.html	NULL	NULL		NULL		NULL
11088	NLP Guide: Identifying Part of Speech Tags using Conditional Random Fields	https://medium.com/analytics-vidhya/pos-tagging-using-conditional-random-fields-92077e5eaa31	NULL	NULL		NULL		2018
11089	Towards Automatic Summarization. Part 2. Abstractive Methods.	https://medium.com/sciforce/towards-automatic-summarization-part-2-abstractive-methods-c424386a65ea	NULL	NULL		NULL		2019
11090	IMDB movie review polarity using NAIVE BAYES CLASSIFIER	https://medium.com/@krsatyam1996/imdb-movie-review-polarity-using-naive-bayes-classifier-9f92c13efa2d	NULL	NULL		NULL		2018
11091	Tutorial: Predicting Movie Review Sentiment with Naive Bayes – Dataquest	https://www.dataquest.io/blog/naive-bayes-tutorial/	NULL	NULL		NULL		NULL
11093	403 Forbidden	https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/	NULL	NULL		NULL		NULL
11094	Introduction to Gradient Descent Algorithm along its variants	https://www.analyticsvidhya.com/blog/2017/03/introduction-to-gradient-descent-algorithm-along-its-variants	NULL	NULL		NULL		2017
11095	On Decision Trees and Entropy – The Startup – Medium	https://medium.com/swlh/on-decision-trees-and-entropy-7e6f26a4b014	NULL	NULL		NULL		2019
11096	A Must-Read NLP Tutorial on Neural Machine Translation — The Technique Powering Google Translate	https://medium.com/analytics-vidhya/a-must-read-nlp-tutorial-on-neural-machine-translation-the-technique-powering-google-translate-c5c8d97d7587	NULL	NULL		NULL		2019
11097	403 Forbidden	https://machinelearningmastery.com/loss-and-loss-functions-for-training-deep-learning-neural-networks/	NULL	NULL		NULL		NULL
11098	GitHub - panushri25/emrQA: Code for the emrQA question answering dataset	https://github.com/panushri25/emrQA	NULL	NULL		NULL		NULL
11099	GitHub - mattrasto/aicm: AI Concept Map: A model for everything machine learning	https://github.com/mattrasto/aicm	NULL	NULL		NULL		NULL
11100	403 Forbidden	https://machinelearningmastery.com/practical-deep-learning-for-coders-review/	NULL	NULL		NULL		NULL
11101	Facebook Boosts Cross-Lingual Language Model Pretraining Performance	https://medium.com/@Synced/facebook-boosts-cross-lingual-language-model-pretraining-performance-872ff7b557e0	NULL	NULL		NULL		2019
11102	Train and Test Set in Python Machine Learning — How to Split	https://medium.com/@rinu.gour123/train-and-test-set-in-python-machine-learning-how-to-split-58029a0d657b	NULL	NULL		NULL		2019
11103	Machine Learning with Python: NLP and Text Recognition	https://levelup.gitconnected.com/machine-learning-with-python-nlp-and-text-recognition-94444d55b0ef	NULL	NULL		NULL		2019
11107	derivative - Backpropagation with Softmax / Cross Entropy - Cross Validated	https://stats.stackexchange.com/questions/235528/backpropagation-with-softmax-cross-entropy	NULL	NULL		NULL		2016
11108	The BackPropagation Network: Learning by Example	http://staff.itee.uq.edu.au/janetw/cmc/chapters/BackProp/index2.html	NULL	NULL		NULL		NULL
11109	Step-by-Step Tutorial on Linear Regression with Stochastic Gradient Descent	https://towardsdatascience.com/step-by-step-tutorial-on-linear-regression-with-stochastic-gradient-descent-1d35b088a843	NULL	NULL		NULL		2018
11110	Introduction to StanfordNLP: An NLP Library for 53 Languages (with Python code)	https://medium.com/analytics-vidhya/introduction-to-stanfordnlp-an-nlp-library-for-53-languages-with-python-code-d7c3efdca118	NULL	NULL		NULL		2019
11111	Boost your data science skills. Learn linear algebra. - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/boost-your-data-science-skills-learn-linear-algebra	NULL	NULL		NULL		NULL
11112	PyTorch: Linear and Logistic Regression Models – BiaslyAI – Medium	https://medium.com/biaslyai/pytorch-linear-and-logistic-regression-models-5c5f0da2cb9	NULL	NULL		NULL		2019
11113	Attn: Illustrated Attention – Towards Data Science	https://towardsdatascience.com/attn-illustrated-attention-5ec4ad276ee3	NULL	NULL		NULL		2019
11114	Multi-armed bandit implementation	https://peterroelants.github.io/posts/multi-armed-bandit-implementation/	NULL	NULL		NULL		NULL
11115	GitHub - plasticityai/magnitude: A fast, efficient universal vector embedding utility package.	https://github.com/plasticityai/magnitude	NULL	NULL		NULL		NULL
11116	GitHub - facebookresearch/XLM: PyTorch original implementation of Cross-lingual Language Model Pretraining.	https://github.com/facebookresearch/XLM	NULL	NULL		NULL		NULL
11117	Xfer: an open-source library for neural network transfer learning	https://medium.com/apache-mxnet/xfer-an-open-source-library-for-neural-network-transfer-learning-cd5eac4accf0	NULL	NULL		NULL		2019
11118	Evaluating Text Output in NLP: BLEU at your own risk	https://towardsdatascience.com/evaluating-text-output-in-nlp-bleu-at-your-own-risk-e8609665a213	NULL	NULL		NULL		2019
11119	GitHub - amzn/xfer: Transfer Learning library for Deep Neural Networks.	https://github.com/amzn/xfer/	NULL	NULL		NULL		NULL
11120	Comparing Pre-trained Language Models with Semantic Parsing - Jack Koch	https://jbkjr.com/posts/2019/01/unsupervised_pretraining_comparison/	NULL	NULL		NULL		2019
11121	Practical Deep Learning for Coders 2019 · fast.ai	https://www.fast.ai/2019/01/24/course-v3	NULL	NULL		NULL		NULL
11122	A Visual Exploration of Gaussian Processes	https://www.jgoertler.com/visual-exploration-gaussian-processes	NULL	NULL		NULL		NULL
11123	A Gentle Introduction to Graph Neural Network (Basics, DeepWalk, and GraphSage)	https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3	NULL	NULL		NULL		2019
11124	Graph neural networks: a review of methods and applications | the morning paper	https://blog.acolyer.org/2019/02/08/graph-neural-networks-a-review-of-methods-and-applications/	NULL	NULL		NULL		NULL
11125	A comprehensive survey on graph neural networks | the morning paper	https://blog.acolyer.org/2019/02/06/a-comprehensive-survey-on-graph-neural-networks/	NULL	NULL		NULL		NULL
11128	Multi-label Text Classification using BERT – The Mighty Transformer	https://medium.com/huggingface/multi-label-text-classification-using-bert-the-mighty-transformer-69714fa3fb3d	NULL	NULL		NULL		2019
11129	Explaining Feature Importance by example of a Random Forest	https://towardsdatascience.com/explaining-feature-importance-by-example-of-a-random-forest-d9166011959e	NULL	NULL		NULL		2019
11131	Introduction to Flair for NLP in Python - State-of-the-art Library for NLP!	https://www.analyticsvidhya.com/blog/2019/02/flair-nlp-library-python/	NULL	NULL		NULL		2019
11132	Spectral clustering – Towards Data Science	https://towardsdatascience.com/spectral-clustering-82d3cff3d3b7	NULL	NULL		NULL		2019
11134	Hot Dog or Not? A lesson on image classification using convolutional neural networks	https://medium.com/@jaimejcheng/hot-dog-or-not-a-lesson-on-image-classification-using-convolutional-neural-networks-a2b92e81f4ad	NULL	NULL		NULL		2019
11136	An Introduction on Time Series Forecasting with Simple Neura Networks  & LSTM	https://towardsdatascience.com/an-introduction-on-time-series-forecasting-with-simple-neura-networks-lstm-f788390915b	NULL	NULL		NULL		2019
11137	Qrash Course: Reinforcement Learning 101 & Deep Q Networks in 10 Minutes	https://towardsdatascience.com/qrash-course-deep-q-networks-from-the-ground-up-1bbda41d3677	NULL	NULL		NULL		2019
11138	Supervised Learning: Basics of Classification and Main Algorithms	https://towardsdatascience.com/supervised-learning-basics-of-classification-and-main-algorithms-c16b06806cd3	NULL	NULL		NULL		2019
11139	A line-by-line implementation guide to Word2Vec using Numpy	https://towardsdatascience.com/an-implementation-guide-to-word2vec-using-numpy-and-google-sheets-13445eebd281	NULL	NULL		NULL		2018
11140	Hierarchical softmax and negative sampling: short notes worth telling	https://towardsdatascience.com/hierarchical-softmax-and-negative-sampling-short-notes-worth-telling-2672010dbe08	NULL	NULL		NULL		2017
11141	Counting No. of Parameters in Deep Learning Models by Hand	https://towardsdatascience.com/counting-no-of-parameters-in-deep-learning-models-by-hand-8f1716241889	NULL	NULL		NULL		2019
11142	Word2vec from Scratch with Python and NumPy	https://nathanrooy.github.io/posts/2018-03-22/word2vec-from-scratch-with-python-and-numpy/	NULL	NULL		NULL		NULL
11143	word2vec-from-scratch-with-python/word2vec.py at master · nathanrooy/word2vec-from-scratch-with-python · GitHub	https://github.com/nathanrooy/word2vec-from-scratch-with-python/blob/master/word2vec.py	NULL	NULL		NULL		NULL
11145	natural language - Why word2vec maximizes the cosine similarity between semantically similar words - Cross Validated	https://stats.stackexchange.com/questions/325053/why-word2vec-maximizes-the-cosine-similarity-between-semantically-similar-words	NULL	NULL		NULL		2018
11146	GitHub - anhquan0412/basic_model_scratch: Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library	https://github.com/anhquan0412/basic_model_scratch	NULL	NULL		NULL		NULL
11147	MIT Deep Learning Basics: Introduction and Overview with TensorFlow	https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0	NULL	NULL		NULL		2019
11148	10 Gradient Descent Optimisation Algorithms – Towards Data Science	https://towardsdatascience.com/10-gradient-descent-optimisation-algorithms-86989510b5e9	NULL	NULL		NULL		2018
11149	GitHub - bmtgoncalves/Neural-Networks: A basic tutorial on Neural Networks	https://github.com/bmtgoncalves/Neural-Networks	NULL	NULL		NULL		NULL
11150	Computational Graphs in Deep Learning With Python – Rinu Gour – Medium	https://medium.com/@rinu.gour123/computational-graphs-in-deep-learning-with-python-75af7d77541f	NULL	NULL		NULL		2019
11151	Using BERT for state-of-the-art pre-training for natural language processing	https://blog.insightdatascience.com/using-bert-for-state-of-the-art-pre-training-for-natural-language-processing-1d87142c29e7	NULL	NULL		NULL		2019
11152	Better Language Models and Their Implications	https://blog.openai.com/better-language-models/	NULL	NULL		NULL		2019
11153	A comprehensive survey on graph neural networks	https://www.kdnuggets.com/2019/02/comprehensive-survey-graph-neural-networks.html	NULL	NULL		NULL		NULL
11155	403 Forbidden	https://machinelearningmastery.com/how-to-control-neural-network-model-capacity-with-nodes-and-layers/	NULL	NULL		NULL		NULL
11156	A Technique for Building NLP Classifiers Efficiently with Transfer Learning and Weak Supervision	https://towardsdatascience.com/a-technique-for-building-nlp-classifiers-efficiently-with-transfer-learning-and-weak-supervision-a8e2f21ca9c8	NULL	NULL		NULL		2019
11157	One Language Model to Rule Them All – Towards Data Science	https://towardsdatascience.com/one-language-model-to-rule-them-all-26f802c90660	NULL	NULL		NULL		2019
11158	How to Automatically Import Your Favorite Libraries into IPython or a Jupyter Notebook	https://towardsdatascience.com/how-to-automatically-import-your-favorite-libraries-into-ipython-or-a-jupyter-notebook-9c69d89aa343	NULL	NULL		NULL		2019
11159	Google Open Sources BERT to Train Natural Language Models Without Breaking the Bank	https://towardsdatascience.com/google-open-sources-bert-to-train-natural-language-models-without-breaking-the-bank-813ef38018fc	NULL	NULL		NULL		2018
11162	HumL: Better Text Intelligence with Humans in the Loop	https://towardsdatascience.com/huml-better-text-intelligence-with-humans-in-the-loop-66795d864990	NULL	NULL		NULL		2018
11164	Word2vec from Scratch with NumPy – Towards Data Science	https://towardsdatascience.com/word2vec-from-scratch-with-numpy-8786ddd49e72	NULL	NULL		NULL		2019
11166	Introducing Wav2latter++ – Towards Data Science	https://towardsdatascience.com/introducing-wav2latter-9e94ae13246	NULL	NULL		NULL		2018
11167	Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP Predictions - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/temporal-convolutional-nets-tcns-take-over-from-rnns-for-nlp-pred	NULL	NULL		NULL		NULL
11168	Hierarchical Classification at Forge.AI – Hacker Noon	https://hackernoon.com/hierarchical-classification-at-forge-ai-5745160f01c7	NULL	NULL		NULL		2018
11169	Tutorial on Outlier Detection in Python using the PyOD Library	https://www.analyticsvidhya.com/blog/2019/02/outlier-detection-python-pyod	NULL	NULL		NULL		2019
11170	GitHub - jflanigan/jamr: JAMR Parser and Generator	https://github.com/jflanigan/jamr	NULL	NULL		NULL		NULL
11171	7.2  One-versus-All multi-class classification	https://jermwatt.github.io/machine_learning_refined/notes/7_Linear_multiclass_classification/7_2_OvA.html	NULL	NULL		NULL		NULL
11172	Introducing DoWhy – Towards Data Science	https://towardsdatascience.com/introducing-dowhy-cc58b75d61ac	NULL	NULL		NULL		2019
11173	Handling overfitting in deep learning models – Towards Data Science	https://towardsdatascience.com/handling-overfitting-in-deep-learning-models-c760ee047c6e	NULL	NULL		NULL		2018
11174	GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!	https://github.com/kmario23/deep-learning-drizzle	NULL	NULL		NULL		NULL
11175	It all started with— CNN’s & AlexNet – Aditya Raj – Medium	https://medium.com/@adityaraj_64455/it-all-started-with-cnns-alexnet-3023b21bb891	NULL	NULL		NULL		2019
11177	10 Python File System Methods You Should Know – Towards Data Science	https://towardsdatascience.com/10-python-file-system-methods-you-should-know-799f90ef13c2	NULL	NULL		NULL		2019
11179	Understanding building blocks of  ULMFIT – ML Review – Medium	https://medium.com/mlreview/understanding-building-blocks-of-ulmfit-818d3775325b	NULL	NULL		NULL		2019
11180	Building Seq2Seq Machine Translation Models using AllenNLP – Real-World Natural Language Processing	http://www.realworldnlpbook.com/blog/building-seq2seq-machine-translation-models-using-allennlp.html	NULL	NULL		NULL		NULL
11181	gpt-2/gpt-2-playground_.ipynb at master · ilopezfr/gpt-2 · GitHub	https://github.com/ilopezfr/gpt-2/blob/master/gpt-2-playground_.ipynb	NULL	NULL		NULL		NULL
11183	Experimenting with OpenAI’s Improved Language Model	https://medium.com/dair-ai/experimenting-with-openais-improved-language-model-abf73bc123b9	NULL	NULL		NULL		2019
11184	Linear Regression in Python with Cost function and Gradient descent	https://medium.com/@purnasaigudikandula/linear-regression-in-python-with-cost-function-and-gradient-descent-bde9a8d2626?	NULL	NULL		NULL		2019
11186	GitHub - trekhleb/homemade-machine-learning:	https://github.com/trekhleb/homemade-machine-learning	NULL	NULL		NULL		NULL
11187	GitHub - benedekrozemberczki/NGCN: A PyTorch implementation of "A Higher-Order Graph Convolutional Layer" (NeurIPS 18 Relational Representation Learning Workshop).	https://github.com/benedekrozemberczki/NGCN	NULL	NULL		NULL		NULL
11188	403 Forbidden	https://machinelearningmastery.com/recommendations-for-deep-learning-neural-network-practitioners/	NULL	NULL		NULL		NULL
11189	Recursive Neural Networks with PyTorch | NVIDIA Developer Blog	https://devblogs.nvidia.com/recursive-neural-networks-pytorch/	NULL	NULL		NULL		NULL
11190	GitHub - openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"	https://github.com/openai/gpt-2	NULL	NULL		NULL		NULL
11191	GitHub - joosthub/PyTorchNLPBook: Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info	https://github.com/joosthub/PyTorchNLPBook	NULL	NULL		NULL		NULL
11193	GitHub - endymecy/pytorch-nlp: The NLP toolkit use pytorch	https://github.com/endymecy/pytorch-nlp	NULL	NULL		NULL		NULL
11194	GitHub - epwalsh/nlp-models: NLP research experiments, built on PyTorch within the AllenNLP framework.	https://github.com/epwalsh/nlp-models	NULL	NULL		NULL		NULL
11195	The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/the-mathematics-of-data-science-understanding-the-foundations-of	NULL	NULL		NULL		NULL
11196	GitHub - rasbt/stat479-deep-learning-ss19: Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison	https://github.com/rasbt/stat479-deep-learning-ss19	NULL	NULL		NULL		NULL
11197	Gated Recurrent Units explained using Matrices: Part 1	https://towardsdatascience.com/gate-recurrent-units-explained-using-matrices-part-1-3c781469fc18	NULL	NULL		NULL		2019
11198	Word embeddings for sentiment analysis – Towards Data Science	https://towardsdatascience.com/word-embeddings-for-sentiment-analysis-65f42ea5d26e	NULL	NULL		NULL		2018
11199	GitHub - naver/biobert-pretrained: BioBERT: a pre-trained biomedical language representation model for biomedical text mining	https://github.com/naver/biobert-pretrained	NULL	NULL		NULL		NULL
11200	403 Forbidden	https://machinelearningmastery.com/how-to-improve-performance-with-transfer-learning-for-deep-learning-neural-networks/	NULL	NULL		NULL		NULL
11201	DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension	https://dataset.org/dream/	NULL	NULL		NULL		NULL
11203	Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters	https://www.kdnuggets.com/2019/02/deconstructing-bert-distilling-patterns-100-million-parameters.html	NULL	NULL		NULL		NULL
11204	Lingvo: A TensorFlow Framework for Sequence Modeling	https://medium.com/tensorflow/lingvo-a-tensorflow-framework-for-sequence-modeling-8b1d6ffba5bb	NULL	NULL		NULL		2019
11205	GitHub - JayParks/transformer: A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"	https://github.com/JayParks/transformer	NULL	NULL		NULL		NULL
11206	GitHub - facebookresearch/nevergrad: A Python toolbox for performing gradient-free optimization	https://github.com/facebookresearch/nevergrad	NULL	NULL		NULL		NULL
11218	GitHub - cheng6076/NeuralSum	https://github.com/cheng6076/NeuralSum	NULL	NULL		NULL		NULL
11222	GitHub - XingxingZhang/dense_parser: DeNSe parser in Dependency Parsing as Head Selection (EACL 2017) https://arxiv.org/abs/1606.01280	https://github.com/XingxingZhang/dense_parser	NULL	NULL		NULL		NULL
11223	GitHub - cheng6076/scanner	https://github.com/cheng6076/scanner	NULL	NULL		NULL		NULL
11224	GitHub - cheng6076/virnng: Code for "A Generative Parser with a Discriminative Recognition Algorithm"(http://homepages.inf.ed.ac.uk/s1537177/resources/virnng.pdf)	https://github.com/cheng6076/virnng	NULL	NULL		NULL		NULL
11225	GitHub - nlpyang/structured: code for Learning Structured Text Representations	https://github.com/nlpyang/structured	NULL	NULL		NULL		NULL
11236	GitHub - nyu-dl/dl4marco-bert	https://github.com/nyu-dl/dl4marco-bert	NULL	NULL		NULL		NULL
11238	Sentiment Analysis with Deep Learning – Towards Data Science	https://towardsdatascience.com/sentiment-analysis-with-deep-learning-62d4d0166ef6	NULL	NULL		NULL		2019
11239	Data Visualization	https://socviz.co/	NULL	NULL		NULL		NULL
11240	A brief introduction to Markov chains – Towards Data Science	https://towardsdatascience.com/brief-introduction-to-markov-chains-2c8cab9c98ab	NULL	NULL		NULL		2019
11241	Why BERT has 3 Embedding Layers and Their Implementation Details	https://medium.com/@_init_/why-bert-has-3-embedding-layers-and-their-implementation-details-9c261108e28a	NULL	NULL		NULL		2019
11242	Hands-On with Unsupervised Learning – Towards Data Science	https://towardsdatascience.com/hands-on-with-unsupervised-learning-93d4d6cad4c7	NULL	NULL		NULL		2019
11243	Stepping into NLP — Word2Vec with Gensim – Hacker Noon	https://hackernoon.com/stepping-into-nlp-word2vec-with-gensim-e7c54d9a450a	NULL	NULL		NULL		2019
11244	AllenNLP - DROP Dataset	https://allennlp.org/drop.html	NULL	NULL		NULL		NULL
11245	GitHub - tensorflow/lingvo: Lingvo	https://github.com/tensorflow/lingvo	NULL	NULL		NULL		NULL
11246	Explore Pretrained Language Models with PyTorch – dair.ai – Medium	https://medium.com/dair-ai/explore-pretrained-language-models-with-pytorch-1b1e06b7510c	NULL	NULL		NULL		2019
11247	GitHub - tensorflow/tfjs-models: Pretrained models for TensorFlow.js	https://github.com/tensorflow/tfjs-models	NULL	NULL		NULL		NULL
11248	GitHub - roomylee/entity-aware-relation-classification: Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity T	https://github.com/roomylee/entity-aware-relation-classification	NULL	NULL		NULL		NULL
11251	GitHub - L1aoXingyu/pytorch-beginner: pytorch tutorial for beginners	https://github.com/L1aoXingyu/pytorch-beginner	NULL	NULL		NULL		NULL
11252		http://fa.bianp.net/teaching/2018/eecs227at/introduction.html	NULL	NULL		NULL		NULL
11253		http://fa.bianp.net/teaching/2018/eecs227at/surrogate.html	NULL	NULL		NULL		NULL
11254		http://fa.bianp.net/teaching/2018/eecs227at/gradient_descent.html	NULL	NULL		NULL		NULL
11255		http://fa.bianp.net/teaching/2018/eecs227at/newton.html	NULL	NULL		NULL		NULL
11256		http://fa.bianp.net/teaching/2018/eecs227at/quasi_newton.html	NULL	NULL		NULL		NULL
11257		http://fa.bianp.net/teaching/2018/eecs227at/stochastic_gradient.html	NULL	NULL		NULL		NULL
11258	scipy.optimize	http://fa.bianp.net/teaching/2018/eecs227at/scipy.optimize.html	NULL	NULL		NULL		NULL
11259	Common Voice	https://voice.mozilla.org/en/datasets	NULL	NULL		NULL		NULL
11261	Transformer-XL Explained: Combining Transformers and RNNs into a State-of-the-art Language Model	https://towardsdatascience.com/transformer-xl-explained-combining-transformers-and-rnns-into-a-state-of-the-art-language-model-c0cfe9e5a924	NULL	NULL		NULL		2019
11262	Python Data Science Getting Started Tutorial: NLTK – Data Driven Investor – Medium	https://medium.com/datadriveninvestor/python-data-science-getting-started-tutorial-nltk-2d8842fedfdd	NULL	NULL		NULL		2019
11264	GitHub - benedekrozemberczki/awesome-graph-embedding: A collection of important graph embedding, classification and representation learning papers with implementations.	https://github.com/benedekrozemberczki/awesome-graph-embedding	NULL	NULL		NULL		NULL
11265	Perform Clustering Analysis	https://www.analyticsvidhya.com/blog/2013/11/getting-clustering-right/	NULL	NULL		NULL		2013
11266	Challenges Using Clustering With Uniform Population | Big Data	https://www.analyticsvidhya.com/blog/2013/11/getting-clustering-right-part-ii/	NULL	NULL		NULL		2013
11267	A High-level Guide to Natural Language Processing Techniques	https://towardsdatascience.com/a-high-level-guide-to-natural-language-processing-techniques-81509a2f14b3	NULL	NULL		NULL		2019
11268	Attention Is All You Need (Vaswani et al., ArXiv 2017) | Jonathan K. Kummerfeld	http://jkk.name/post/2017-10-20_onlyattention/	NULL	NULL		NULL		2017
11269	Unifying Word Embeddings and Matrix Factorization — Part 1	https://medium.com/radix-ai-blog/unifying-word-embeddings-and-matrix-factorization-part-1-cb3984e95141	NULL	NULL		NULL		2019
11271	Neural Networks with Numpy for Absolute Beginners: Introduction	https://towardsdatascience.com/neural-networks-with-numpy-for-absolute-beginners-introduction-c1394639edb2	NULL	NULL		NULL		2019
11272	Neural Networks with Numpy for Absolute Beginners — Part 2: Linear Regression	https://towardsdatascience.com/neural-networks-with-numpy-for-absolute-beginners-part-2-linear-regression-e53c0c7dea3a	NULL	NULL		NULL		2019
11273	One neural network, many uses – Towards Data Science	https://towardsdatascience.com/one-neural-network-many-uses-image-captioning-image-search-similar-image-and-words-in-one-model-1e22080ce73d	NULL	NULL		NULL		2019
11274	DeepMind Combines Logic and Neural Networks to Extract Rules from Noisy Data	https://towardsdatascience.com/deepmind-combines-logic-and-neural-networks-to-extract-rules-from-noisy-data-2fbd0f6edfb7	NULL	NULL		NULL		2019
11275	Machine Learning — Singular Value Decomposition (SVD) & Principal Component Analysis (PCA)	https://medium.com/@jonathan_hui/machine-learning-singular-value-decomposition-svd-principal-component-analysis-pca-1d45e885e491	NULL	NULL		NULL		2019
11276	Viewinga???Matrices & Probabilitya???asa???Graphs	https://www.math3ma.com/blog/matrices-probability-graphs	NULL	NULL		NULL		NULL
11277	Resources for Intro-Level Graduate Courses	https://www.math3ma.com/blog/resources-for-intro-level-graduate-courses	NULL	NULL		NULL		NULL
11278	403 Forbidden	https://www.topbots.com/ai-nlp-research-pretrained-language-models/	NULL	NULL		NULL		NULL
11282	Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models	https://medium.com/syncedreview/google-open-sources-gpipe-library-for-training-large-scale-neural-network-models-8b8ef324382c	NULL	NULL		NULL		2019
11283	Using word2vec to Analyze News Headlines and Predict Article Success	https://towardsdatascience.com/using-word2vec-to-analyze-news-headlines-and-predict-article-success-cdeda5f14751	NULL	NULL		NULL		2019
11284	PCA & Autoencoders: Algorithms Everyone Can Understand	https://towardsdatascience.com/understanding-pca-autoencoders-algorithms-everyone-can-understand-28ee89b570e2	NULL	NULL		NULL		2018
11285	Tsinghua University Publishes Comprehensive Machine Translation Reading List	https://medium.com/syncedreview/tsinghua-university-publishes-comprehensive-machine-translation-reading-list-c3f2df594218	NULL	NULL		NULL		2019
11286	GitHub - THUNLP-MT/THUMT: An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group	https://github.com/THUNLP-MT/THUMT	NULL	NULL		NULL		NULL
11288	GitHub - THUNLP-MT/MT-Toolkit-List: A list of machine translation open-source toolkits maintained by Tsinghua Natural Language Processing Group	https://github.com/THUNLP-MT/MT-Toolkit-List	NULL	NULL		NULL		NULL
11289	GitHub - tommccoy1/tpdn: Tensor product decomposition network	https://github.com/tommccoy1/tpdn	NULL	NULL		NULL		NULL
11291	GQA: Visual Reasoning in the Real World	https://cs.stanford.edu/people/dorarad/gqa/	NULL	NULL		NULL		NULL
11292	It’s Only Natural: An Excessively Deep Dive Into Natural Gradient Optimization	https://towardsdatascience.com/its-only-natural-an-excessively-deep-dive-into-natural-gradient-optimization-75d464b89dbb	NULL	NULL		NULL		2019
11293	Character Level NLP	https://www.lighttag.io/blog/character-level-NLP/	NULL	NULL		NULL		NULL
11294	Learn ELMo for Extracting Features from Text (using Python)	https://www.analyticsvidhya.com/blog/2019/03/learn-to-use-elmo-to-extract-features-from-text/	NULL	NULL		NULL		2019
11296	NLP  Learning Series: Part 1 - Text Preprocessing Methods for Deep Learning	https://mlwhiz.com/blog/2019/01/17/deeplearning_nlp_preprocess/	NULL	NULL		NULL		2019
11297	NLP  Learning Series: Part 2 - Conventional Methods for Text Classification	https://mlwhiz.com/blog/2019/02/08/deeplearning_nlp_conventional_methods/	NULL	NULL		NULL		2019
11298	NLP  Learning Series: Part 3 - Attention, CNN and what not for Text Classification	https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/	NULL	NULL		NULL		2019
11299	How to Perform Explainable Machine Learning Classification — Without Any Trees	https://towardsdatascience.com/how-to-perform-explainable-machine-learning-classification-without-any-trees-873db4192c68	NULL	NULL		NULL		2019
11300	Exploring BERT's Vocabulary	http://juditacs.github.io/2019/02/19/bert-tokenization-stats.html	NULL	NULL		NULL		NULL
11301	Introduction to Deep Learning – Explore Artificial Intelligence – Medium	https://medium.com/explore-artificial-intelligence/deep-learning-the-journey-is-still-on-a2b2d4556192	NULL	NULL		NULL		2018
11302	Build your own Neural Network — 1 : The story of Perceptron & Sigmoid	https://medium.com/explore-artificial-intelligence/build-your-own-neural-network-1-the-story-of-perceptron-sigmoid-c9d1a9afdf95	NULL	NULL		NULL		2018
11303	Build your own Neural Network-2: Our first neural network architecture	https://medium.com/explore-artificial-intelligence/build-your-own-neural-network-2-our-first-neural-network-architecture-7e80c081d264	NULL	NULL		NULL		2019
11304	Introduction to Linear Algebra – Explore Artificial Intelligence – Medium	https://medium.com/explore-artificial-intelligence/introduction-to-linear-algebra-5d0c3bc057e8	NULL	NULL		NULL		2019
11305	Python — A Journey from being a Beginner to an Expert — part 1	https://medium.com/explore-artificial-intelligence/python-a-journey-from-being-a-beginner-to-an-expert-part-1-c2dee719ba2d	NULL	NULL		NULL		2018
11306	Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing	https://medium.com/explore-artificial-intelligence/word2vec-a-baby-step-in-deep-learning-but-a-giant-leap-towards-natural-language-processing-40fe4e8602ba	NULL	NULL		NULL		2018
11307	Introduction to Theory of Probability — an approach to build models to solve real world problems	https://medium.com/explore-artificial-intelligence/how-can-we-help-john-snow-and-ygritte-meet-up-for-a-date-using-theory-of-probability-b2a219caa93b	NULL	NULL		NULL		2018
11308	An Introduction to Recurrent Neural Networks – Explore Artificial Intelligence – Medium	https://medium.com/explore-artificial-intelligence/an-introduction-to-recurrent-neural-networks-72c97bf0912	NULL	NULL		NULL		2018
11309	How would we find a better activation function than ReLU?	https://medium.com/shallow-thoughts-about-deep-learning/how-would-we-find-a-better-activation-function-than-relu-4409df217a5c	NULL	NULL		NULL		2019
11310	Google AI Blog: An All-Neural On-Device Speech Recognizer	https://ai.googleblog.com/2019/03/an-all-neural-on-device-speech.html	NULL	NULL		NULL		NULL
11311	What is a Generative Adversarial Network? – Towards Data Science	https://towardsdatascience.com/what-is-a-generative-adversarial-network-76898dd7ea65	NULL	NULL		NULL		2018
11312	Simple Introduction to Convolutional Neural Networks	https://towardsdatascience.com/simple-introduction-to-convolutional-neural-networks-cdf8d3077bac	NULL	NULL		Tutorials		2019
11313	Building a k-Nearest-Neighbors (k-NN) Model with Scikit-learn	https://towardsdatascience.com/building-a-k-nearest-neighbors-k-nn-model-with-scikit-learn-51209555453a	NULL	NULL		NULL		2018
11314	Transformers – Towards Data Science	https://towardsdatascience.com/transformers-141e32e69591	NULL	NULL		NULL		2019
11315	Convolutional Neural Networks for Beginners – Towards Data Science	https://towardsdatascience.com/convolutional-neural-networks-for-beginners-practical-guide-with-python-and-keras-dc688ea90dca	NULL	NULL		NULL		2018
11316	2.2. Linear Algebra — Dive into Deep Learning 0.7 documentation	http://d2l.ai/chapter_crashcourse/linear-algebra.html	NULL	NULL		NULL		NULL
11317	2.4. Probability and Statistics — Dive into Deep Learning 0.7 documentation	http://d2l.ai/chapter_crashcourse/probability.html	NULL	NULL		NULL		NULL
11318	2.5. Naive Bayes Classification — Dive into Deep Learning 0.7 documentation	http://d2l.ai/chapter_crashcourse/naive-bayes.html	NULL	NULL		NULL		NULL
11319	13. Natural Language Processing — Dive into Deep Learning 0.7 documentation	http://d2l.ai/chapter_natural-language-processing/index.html	NULL	NULL		NULL		NULL
11320	Introduction · A Byte of Python	https://python.swaroopch.com/	NULL	NULL		NULL		NULL
11323	OpenAI GPT-2: Understanding Language Generation through Visualization	https://towardsdatascience.com/openai-gpt-2-understanding-language-generation-through-visualization-8252f683b2f8	NULL	NULL		Tutorials		2019
11324	QAngaroo -- Reading Comprehension with Multiple Hops	http://qangaroo.cs.ucl.ac.uk/	NULL	NULL		NULL		NULL
11325	GitHub - ageron/handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.	https://github.com/ageron/handson-ml2	NULL	NULL		NULL		NULL
11326	Checklist for debugging neural networks – Towards Data Science	https://towardsdatascience.com/checklist-for-debugging-neural-networks-d8b2a9434f21	NULL	NULL		NULL		2019
11327	Attention, Dialogue, and Learning Reusable Patterns	https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0	NULL	NULL		NULL		2018
11328	8 Pretrained Models to Learn Natural Language Processing (NLP)	https://www.analyticsvidhya.com/blog/2019/03/pretrained-models-get-started-nlp	NULL	NULL		NULL		2019
11329	Ten trends in Deep learning NLP	https://blog.floydhub.com/ten-trends-in-deep-learning-nlp/	NULL	NULL		NULL		2019
11330	List of free resources to learn Natural Language Processing - ParallelDots	https://blog.paralleldots.com/data-science/nlp/free-natural-language-processing-resources/	NULL	NULL		NULL		2018
11331	GitHub - huseinzol05/NLP-Models-Tensorflow: Gathers machine learning and Tensorflow deep learning models for NLP problems	https://github.com/huseinzol05/NLP-Models-Tensorflow	NULL	NULL		NULL		NULL
11332	Daniela Gerz	http://people.ds.cam.ac.uk/dsg40/simverb.html	NULL	NULL		NULL		NULL
11333	SimLex-999	https://fh295.github.io//simlex.html	NULL	NULL		NULL		NULL
11335	GitHub - neulab/compare-mt: A program to compare language generation results and extract salient features	https://github.com/neulab/compare-mt	NULL	NULL		NULL		NULL
11336	GitHub - Yale-LILY/Awesome-NLP-Research	https://github.com/Yale-LILY/Awesome-NLP-Research	NULL	NULL		NULL		NULL
11337	A Brief Introduction to Cross-Lingual Information Retrieval	https://medium.com/lily-lab/a-brief-introduction-to-cross-lingual-information-retrieval-eba767fa9af6	NULL	NULL		NULL		2019
11338	FastText sentiment analysis for tweets: A straightforward guide.	https://medium.com/@media_73863/fasttext-sentiment-analysis-for-tweets-a-straightforward-guide-9a8c070449a2	NULL	NULL		NULL		2019
11339	When Multi-Task Learning meet with BERT – Towards Data Science	https://towardsdatascience.com/when-multi-task-learning-meet-with-bert-d1c49cc40a0c	NULL	NULL		NULL		2019
11340	Seven Myths in Machine Learning Research · Oscar Chang	https://crazyoscarchang.github.io/2019/02/16/seven-myths-in-machine-learning-research/	NULL	NULL		NULL		2019
11341	GitHub - ryanzhumich/awesome-clir: A curated list of resources for Cross-lingual Information Retrieval (CLIR).	https://github.com/ryanzhumich/awesome-clir	NULL	NULL		NULL		NULL
11345	GitHub - facebookresearch/hypernymysuite: Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora	https://github.com/facebookresearch/hypernymysuite	NULL	NULL		NULL		NULL
11346	GitHub - nelson-liu/contextual-repr-analysis: A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of	https://github.com/nelson-liu/contextual-repr-analysis	NULL	NULL		NULL		NULL
11348	How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms	https://medium.freecodecamp.org/how-machines-make-sense-of-big-data-an-introduction-to-clustering-algorithms-4bd97d4fbaba	NULL	NULL		NULL		2017
11349	RL Part 4.2  Policy Iteration.	https://programmingbee.net/2019/03/23/rl-part-4-2-policy-iteration/	NULL	NULL		NULL		2019
11350	GitHub - Opimenov/Reinforcement_Learning: my self learning implementations of some RL related problems	https://github.com/Opimenov/Reinforcement_Learning	NULL	NULL		NULL		NULL
11351	GitHub - pinkeshbadjatiya/neuralTextSegmentation: Code & dataset for the paper 'Attention-based Neural Text Segmentation'	https://github.com/pinkeshbadjatiya/neuralTextSegmentation	NULL	NULL		NULL		NULL
11352	Deep Learning for NLP with Pytorch — PyTorch Tutorials 1.1.0.dev20190501 documentation	https://pytorch.org/tutorials/beginner/deep_learning_nlp_tutorial.html	NULL	NULL		NULL		NULL
11353	How to use TorchText for neural machine translation, plus hack to make it 5x faster	https://towardsdatascience.com/how-to-use-torchtext-for-neural-machine-translation-plus-hack-to-make-it-5x-faster-77f3884d95	NULL	NULL		NULL		2018
11354	Python Genetic Algorithms With Artificial Intelligence	https://medium.com/@rinu.gour123/python-genetic-algorithms-with-artificial-intelligence-b8d0c7db60ac	NULL	NULL		NULL		2019
11356	GitHub - mjc92/TorchTextTutorial: A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.	https://github.com/mjc92/TorchTextTutorial	NULL	NULL		NULL		NULL
11357	A Tutorial on Torchtext – Allen Nie – A blog for NLP, ML, and Programming	http://anie.me/On-Torchtext/	NULL	NULL		NULL		NULL
11358	GitHub - UKPLab/emnlp-ws-2017-s3: Summarization evaluation tool for content selection evaluation.	https://github.com/UKPLab/emnlp-ws-2017-s3	NULL	NULL		NULL		NULL
11361	Metacademy - Bayesian machine learning	https://metacademy.org/roadmaps/rgrosse/bayesian_machine_learning	NULL	NULL		NULL		NULL
11362	GitHub - context-mover/context-mover-distance-and-barycenters	https://github.com/context-mover/context-mover-distance-and-barycenters	NULL	NULL		NULL		NULL
11363	Text generation with a Variational Autoencoder – Giancarlo Nicola – PhD student in Data Science ('18)	https://nicgian.github.io/text-generation-vae/	NULL	NULL		NULL		NULL
11364	GitHub - FudanNLP/Irl_gen: This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018	https://github.com/FudanNLP/Irl_gen	NULL	NULL		NULL		NULL
11365	GitHub - yao8839836/text_gcn: Graph Convolutional Networks for Text Classification. AAAI 2019	https://github.com/yao8839836/text_gcn	NULL	NULL		NULL		NULL
11366	GitHub - wiseodd/controlled-text-generation: Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"	https://github.com/wiseodd/controlled-text-generation	NULL	NULL		NULL		NULL
11367	texar/examples/text_style_transfer at master · asyml/texar · GitHub	https://github.com/asyml/texar/tree/master/examples/text_style_transfer	NULL	NULL		NULL		NULL
11368	How to apply Reinforcement Learning to real life planning problems	https://medium.freecodecamp.org/how-to-apply-reinforcement-learning-to-real-life-planning-problems-90f8fa3dc0c5	NULL	NULL		NULL		2019
11369	GitHub - kevin-wayne/algs4: Algorithms, 4th edition textbook code and libraries	https://github.com/kevin-wayne/algs4	NULL	NULL		NULL		NULL
11370	Bitbucket	https://bitbucket.org/dascim/acl2018_abssumm	NULL	NULL		NULL		NULL
11371	Visualizing memorization in RNNs	https://distill.pub/2019/memorization-in-rnns/	NULL	NULL		NULL		NULL
11372	GitHub - mp2893/gram: Graph-based Attention Model	https://github.com/mp2893/gram	NULL	NULL		NULL		NULL
11374	How to code The Transformer in PyTorch	https://blog.floydhub.com/the-transformer-in-pytorch/	NULL	NULL		NULL		2018
11375	PyTorch-BigGraph: Faster embeddings of large graphs	https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs/	NULL	NULL		NULL		NULL
11376	Text summarizer using deep learning made easy – Hacker Noon	https://hackernoon.com/text-summarizer-using-deep-learning-made-easy-490880df6cd	NULL	NULL		NULL		2019
11378	(tutorial 3)What is seq2seq for text summarization and why	https://hackernoon.com/tutorial-3-what-is-seq2seq-for-text-summarization-and-why-68ebaa644db0	NULL	NULL		NULL		2019
11379	Multilayer Bidirectional LSTM/GRU for text summarization made easy (tutorial 4)	https://medium.com/@theamrzaki/multilayer-bidirectional-lstm-gru-for-text-summarization-made-easy-tutorial-4-a63db108b44f	NULL	NULL		NULL		2019
11380	Principal Component Analysis Tutorial – Algobeans	https://algobeans.com/2016/06/15/principal-component-analysis-tutorial/	NULL	NULL		NULL		2016
11381	k-Nearest Neighbors & Anomaly Detection Tutorial – Algobeans	https://algobeans.com/2016/09/14/k-nearest-neighbors-anomaly-detection-tutorial/	NULL	NULL		NULL		2016
11382	Decision Trees Tutorial – Algobeans	https://algobeans.com/2016/07/27/decision-trees-tutorial/	NULL	NULL		NULL		2016
11383	Self-Organizing Maps Tutorial – Algobeans	https://algobeans.com/2017/11/02/self-organizing-map/	NULL	NULL		NULL		2017
11384	K-Means Clustering Tutorial – Algobeans	https://algobeans.com/2015/11/30/k-means-clustering-laymans-tutorial/	NULL	NULL		NULL		2015
11385	K-Nearest Neighbor (KNN) Tutorial: Anomaly Detection – Algobeans	https://algobeans.com/2015/06/22/anomaly-detection-with-predictive-algorithms/	NULL	NULL		NULL		2015
11386	You Are Who You Like – Algobeans	https://algobeans.com/2015/06/01/you-are-who-you-like/	NULL	NULL		NULL		2015
11387	Principal_component_analysis	https://plot.ly/ipython-notebooks/principal-component-analysis/	NULL	NULL		NULL		NULL
11388	GitHub - llSourcell/Dimensionality_Reduction: This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube	https://github.com/llSourcell/Dimensionality_Reduction	NULL	NULL		NULL		NULL
11389	Training deep neural networks on a GPU with PyTorch	https://medium.com/jovian-io/training-deep-neural-networks-on-a-gpu-with-pytorch-11079d89805	NULL	NULL		NULL		2019
11390	GitHub - facebookresearch/PyTorch-BigGraph: Software used for generating embeddings from large-scale graph-structured data.	https://github.com/facebookresearch/PyTorch-BigGraph	NULL	NULL		NULL		NULL
11391	Step-by-Step Tutorial on Image Segmentation Techniques in Python	https://www.analyticsvidhya.com/blog/2019/04/introduction-image-segmentation-techniques-python	NULL	NULL		NULL		2019
11392	GitHub - dorajam/Convolutional-Network: A convolutional neural network from scratch	https://github.com/dorajam/Convolutional-Network	NULL	NULL		NULL		NULL
11393	From Attention in Transformers to Dynamic Routing in Capsule Nets - Samira Abnar	https://staff.fnwi.uva.nl/s.abnar/?p=108	NULL	NULL		NULL		2019
11394	NN SVG	http://alexlenail.me/NN-SVG/index.html	NULL	NULL		NULL		NULL
11395	A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way	https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53	NULL	NULL		NULL		2018
11397	GitHub - allenai/scispacy: A full spaCy pipeline and models for scientific/biomedical documents.	https://github.com/allenai/scispacy	NULL	NULL		NULL		NULL
11398	GitHub - allenai/scibert: A BERT model for scientific text.	https://github.com/allenai/scibert	NULL	NULL		NULL		NULL
11399	The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time	https://jalammar.github.io/illustrated-word2vec/	NULL	NULL		NULL		NULL
11400	17 Amazing Things You Can Do With Machine Learning in Python	https://medium.com/dataflair/17-amazing-things-you-can-do-with-machine-learning-in-python-2d3d474d0d6e	NULL	NULL		NULL		2019
11401	GitHub - facebookresearch/flores: Facebook Low Resource (FLoRes) MT Benchmark	https://github.com/facebookresearch/flores	NULL	NULL		NULL		NULL
11403	GitHub - anoopkunchukuttan/indic_nlp_library: Resources and tools for Indian language Natural Language Processing	https://github.com/anoopkunchukuttan/indic_nlp_library	NULL	NULL		NULL		NULL
11404	NLP Overview: An integrated platform to learn about modern NLP techniques	https://medium.com/dair-ai/nlp-overview-an-integrated-platform-to-learn-about-modern-nlp-techniques-36eefe7062e0	NULL	NULL		NULL		2018
11405	HMTL: Multi-task learning for state of the art NLP – dair.ai – Medium	https://medium.com/dair-ai/hmtl-multi-task-learning-for-state-of-the-art-nlp-245572bbb601	NULL	NULL		NULL		2018
11406	NLP 2018 Highlights – dair.ai – Medium	https://medium.com/dair-ai/nlp-2018-highlights-5a65cbd96671	NULL	NULL		NULL		2018
11407	GitHub - deepmind/mathematics_dataset	https://github.com/deepmind/mathematics_dataset/	NULL	NULL		NULL		NULL
11408	Reinforcement Learning With Python — AI – Rinu Gour – Medium	https://medium.com/@rinu.gour123/reinforcement-learning-with-python-ai-e203f21099db	NULL	NULL		NULL		2019
11409	Using Tutorial Data from Google Drive in Colab — PyTorch Tutorials 1.1.0.dev20190501 documentation	https://pytorch.org/tutorials/beginner/colab.html	NULL	NULL		NULL		NULL
11410	Variational Autoencoder in Pytorch  · Infinite n?rm	https://chrisorm.github.io/VAE-pyt.html	NULL	NULL		NULL		2017
11414	GitHub - IBM/sciqa-arcade198-dataset: ARCADE198 Dataset from the ACL 2018 MRQA Workshop	https://github.com/IBM/sciqa-arcade198-dataset	NULL	NULL		NULL		NULL
11416	GitHub - CornellNLP/ASQ: Dataset of personal narratives with Advice Seeking Questions	https://github.com/CornellNLP/ASQ	NULL	NULL		NULL		NULL
11417	GitHub - lorenlugosch/pretrain_speech_model: Speech Model Pre-training for End-to-End Spoken Language Understanding	https://github.com/lorenlugosch/pretrain_speech_model	NULL	NULL		NULL		NULL
11418	GitHub - taki0112/Tensorflow-Cookbook: Simple Tensorflow Cookbook for easy-to-use	https://github.com/taki0112/Tensorflow-Cookbook	NULL	NULL		NULL		NULL
11419	Measuring Audience Sentiments about Movies using Twitter and Text Analytics	https://www.analyticsvidhya.com/blog/2017/03/measuring-audience-sentiments-about-movies-using-twitter-and-text-analytics/	NULL	NULL		NULL		2017
11421	GitHub - duolingo/halflife-regression	https://github.com/duolingo/halflife-regression	NULL	NULL		NULL		NULL
11422	Multi-Class Text Classification with LSTM – Towards Data Science	https://medium.com/@actsusanli/multi-class-text-classification-with-lstm-1590bee1bd17	NULL	NULL		NULL		2019
11423	Introduction to Word Embeddings – Towards Data Science	https://towardsdatascience.com/introduction-to-word-embeddings-4cf857b12edc	NULL	NULL		NULL		2018
11424	Building a Feedforward Neural Network from Scratch in Python	https://hackernoon.com/building-a-feedforward-neural-network-from-scratch-in-python-d3526457156b	NULL	NULL		NULL		2019
11425	Deep Learning: Feedforward Neural Networks Explained	https://hackernoon.com/deep-learning-feedforward-neural-networks-explained-c34ae3f084f1	NULL	NULL		NULL		2019
11426	Illustrative Proof of Universal Approximation Theorem	https://hackernoon.com/illustrative-proof-of-universal-approximation-theorem-5845c02822f6	NULL	NULL		NULL		2019
11427	Sigmoid Neuron — Deep Neural Networks – Towards Data Science	https://towardsdatascience.com/sigmoid-neuron-deep-neural-networks-a4cd35b629d7	NULL	NULL		NULL		2019
11428	Implementing The Perceptron Algorithm From Scratch In Python	https://hackernoon.com/implementing-the-perceptron-algorithm-from-scratch-in-python-48be2d07b1c0	NULL	NULL		NULL		2019
11429	Perceptron — Deep Learning Basics – Hacker Noon	https://hackernoon.com/perceptron-deep-learning-basics-3a938c5f84b6	NULL	NULL		NULL		2019
11430	McCulloch Pitts Neuron — Deep Learning Building Blocks	https://hackernoon.com/mcculloch-pitts-neuron-deep-learning-building-blocks-7928f4e0504d	NULL	NULL		NULL		2019
11435	Introduction to StanfordNLP with Python Implementation	https://www.analyticsvidhya.com/blog/2019/02/stanfordnlp-nlp-library-python/	NULL	NULL		NULL		2019
11436	ELMo: Contextual Language Embedding	https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html	NULL	NULL		NULL		NULL
11437	ELMo: Contextual language embedding – Towards Data Science	https://towardsdatascience.com/elmo-contextual-language-embedding-335de2268604	NULL	NULL		NULL		2019
11440	Dimensionality Reduction in Machine Learning – Rinu Gour – Medium	https://medium.com/@rinu.gour123/dimensionality-reduction-in-machine-learning-dad03dd46a9e	NULL	NULL		NULL		2019
11441	Neural Networks in 100 lines of pure Python	https://eisenjulian.github.io/deep-learning-in-100-lines/	NULL	NULL		NULL		2019
11444	All you need to know about text preprocessing for NLP and Machine Learning	https://medium.freecodecamp.org/all-you-need-to-know-about-text-preprocessing-for-nlp-and-machine-learning-bc1c5765ff67	NULL	NULL		NULL		2019
11445	Deep Learning for Natural Language Processing Using RNNs & CNNs	https://blog.exxactcorp.com/deep-learning-for-natural-language-processing/	NULL	NULL		NULL		NULL
11446	Getting Started with Natural Language Processing Using PyTorch - Exxact	https://blog.exxactcorp.com/getting-started-with-natural-language-processing-using-pytorch/	NULL	NULL		NULL		NULL
11447	A Tutorial Introduction to Privacy-Centric Deep Learning -- Exxact Blog	https://blog.exxactcorp.com/a-tutorial-introduction-to-privacy-centric-deep-learning/	NULL	NULL		NULL		NULL
11448	commonsenseqa	https://www.tau-nlp.org/commonsenseqa	NULL	NULL		NULL		NULL
11449	Finding Syntax with Structural Probes · John Hewitt	https://nlp.stanford.edu/~johnhew/structural-probe.html	NULL	NULL		NULL		2019
11450	PoMo | PoMo: Generating Entity-Specific Post-Modifiers in Context	https://stonybrooknlp.github.io/PoMo/	NULL	NULL		NULL		NULL
11451	GitHub - StonyBrookNLP/PoMo: PoMo: Generating Entity-Specific Post-Modifiers in Context	https://github.com/StonyBrookNLP/PoMo	NULL	NULL		NULL		NULL
11453	The unreasonable effectiveness of one neuron | Rakesh Chada's Blog	https://rakeshchada.github.io/Sentiment-Neuron.html	NULL	NULL		NULL		NULL
11454	GitHub - ahmedfgad/NeuralGenetic: Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using	https://github.com/ahmedfgad/NeuralGenetic	NULL	NULL		NULL		NULL
11455	[ Archived Post ] Monte Carlo Tree Search – Jae Duk Seo – Medium	https://medium.com/@SeoJaeDuk/archived-post-monte-carlo-tree-search-555fc4d0d55	NULL	NULL		NULL		2019
11456	GitHub - pbsinclair42/MCTS: A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain	https://github.com/pbsinclair42/MCTS	NULL	NULL		NULL		NULL
11458	GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources.	https://github.com/jphall663/awesome-machine-learning-interpretability	NULL	NULL		NULL		NULL
11460	Genetic Algorithm - Explained | Applications & Example  - Code Companion	https://codecampanion.blogspot.com/2018/12/genetic-algorithm-explained.html	NULL	NULL		NULL		NULL
11462	Reading Minds with Deep Learning - FloydHub Blog	https://blog.floydhub.com/reading-minds-with-deep-learning/	NULL	NULL		NULL		2018
11463	Found in translation: FloydHub	https://blog.floydhub.com/language-translator/	NULL	NULL		NULL		2018
11464	Practical guide to hyperparameter searching in Deep Learning	https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/	NULL	NULL		NULL		2018
11465	Asking questions to images with deep learning	https://blog.floydhub.com/asking-questions-to-images-with-deep-learning/	NULL	NULL		NULL		2018
11466	Using Sentence Embeddings to Automate Customer Support, Part One	https://blog.floydhub.com/automate-customer-support-part-one/	NULL	NULL		NULL		2018
11467	Using NLP to Automate Customer Support, Part Two	https://blog.floydhub.com/automate-customer-support-part-two/	NULL	NULL		NULL		2019
11468	A beginner’s guide to Linear Regression in Python with Scikit-Learn	https://towardsdatascience.com/a-beginners-guide-to-linear-regression-in-python-with-scikit-learn-83a8f7ae2b4f	NULL	NULL		NULL		2019
11469	Fluent Speech Commands – Fluent.ai Inc.	https://www.fluent.ai/research/fluent-speech-commands/	NULL	NULL		NULL		NULL
11470	Biologically-Inspired AI: Optimization and Local Search	https://medium.com/cracking-the-data-science-interview/an-introduction-to-optimization-in-intelligent-systems-c1aa408d3ac2	NULL	NULL		NULL		2019
11471	­­From Y=X to Building a Complete Artificial Neural Network	https://heartbeat.fritz.ai/from-y-x-to-building-a-complete-artificial-neural-network-327da18894af	NULL	NULL		NULL		2019
11473	GitHub - google-research-datasets/paws: This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order informatio	https://github.com/google-research-datasets/paws	NULL	NULL		NULL		NULL
11474	GitHub - korymath/talk-generator: talk-generator is capable of generating coherent slide decks based on a single topic suggestion.	https://github.com/korymath/talk-generator	NULL	NULL		NULL		NULL
11475	Graduating in GANs: Going from understanding generative adversarial networks to running your own	https://towardsdatascience.com/graduating-in-gans-going-from-understanding-generative-adversarial-networks-to-running-your-own-39804c283399	NULL	NULL		Tutorials		2019
11476	GitHub - metacademy/metacademy-application: Metacademy.org's application code	https://github.com/metacademy/metacademy-application	NULL	NULL		NULL		NULL
11478	An Introduction to Big Data: Clustering – Cracking The Data Science Interview – Medium	https://medium.com/cracking-the-data-science-interview/an-introduction-to-big-data-clustering-1a911b83e590	NULL	NULL		NULL		2019
11479	GitHub - isi-nlp/universal-cipher-pos-tagging: Code to reproduce experiments in "A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages"	https://github.com/isi-nlp/universal-cipher-pos-tagging	NULL	NULL		NULL		NULL
11484	How to train Neural Network faster with optimizers?	https://towardsdatascience.com/how-to-train-neural-network-faster-with-optimizers-d297730b3713	NULL	NULL		NULL		2018
11485	Gentle Dive into Math Behind Convolutional Neural Networks	https://towardsdatascience.com/gentle-dive-into-math-behind-convolutional-neural-networks-79a07dd44cf9	NULL	NULL		Tutorials		2019
11487	Perceptron Learning Algorithm | SONAR Data Classification | Edureka	https://www.edureka.co/blog/perceptron-learning-algorithm/	NULL	NULL		NULL		NULL
11490	GitHub - jojonki/CNN-Daily-Mail-Reading-Comprehension-Task: CNN/Daily Mail Reading Comprehension Task  Code for the paper:  A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.	https://github.com/jojonki/CNN-Daily-Mail-Reading-Comprehension-Task	NULL	NULL		NULL		NULL
11491	GitHub - facebook/bAbI-tasks: Task generation for testing text understanding and reasoning	https://github.com/facebook/bAbI-tasks	NULL	NULL		NULL		NULL
11492	GitHub - JafferWilson/Process-Data-of-CNN-DailyMail: This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail	https://github.com/JafferWilson/Process-Data-of-CNN-DailyMail	NULL	NULL		NULL		NULL
11493	Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)	https://hackernoon.com/build-an-abstractive-text-summarizer-in-94-lines-of-tensorflow-tutorial-6-f0e1b4d88b55	NULL	NULL		NULL		2019
11494	Beam Search & Attention for text summarization made easy (Tutorial 5)	https://hackernoon.com/beam-search-attention-for-text-summarization-made-easy-tutorial-5-3b7186df7086	NULL	NULL		NULL		2019
11495	Multilayer Bidirectional LSTM/GRU for text summarization made easy (tutorial 4)	https://hackernoon.com/multilayer-bidirectional-lstm-gru-for-text-summarization-made-easy-tutorial-4-a63db108b44f	NULL	NULL		NULL		2019
11499	NLP: Contextualized word embeddings from BERT – Towards Data Science	https://towardsdatascience.com/nlp-extract-contextualized-word-embeddings-from-bert-keras-tf-67ef29f60a7b	NULL	NULL		NULL		2019
11502	Breaking the curse of small datasets in Machine Learning: Part 1	https://towardsdatascience.com/breaking-the-curse-of-small-datasets-in-machine-learning-part-1-36f28b0c044d	NULL	NULL		NULL		2018
11504	GitHub - bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.	https://github.com/bharathgs/Awesome-pytorch-list	NULL	NULL		NULL		NULL
11506	Introduction to Deep Q-Learning for Reinforcement Learning (in Python)	https://www.analyticsvidhya.com/blog/2019/04/introduction-deep-q-learning-python/	NULL	NULL		NULL		2019
11507	8 Pretrained Models to Learn Natural Language Processing (NLP)	https://www.analyticsvidhya.com/blog/2019/03/pretrained-models-get-started-nlp/	NULL	NULL		NULL		2019
11508	AutoML: The Next Wave of Machine Learning – Heartbeat	https://heartbeat.fritz.ai/automl-the-next-wave-of-machine-learning-5494baac615f	NULL	NULL		NULL		2019
11509	Earth mover’s distance – Towards Data Science	https://towardsdatascience.com/earth-movers-distance-68fff0363ef2	NULL	NULL		NULL		2019
11511	Comprehensive Introduction to Autoencoders – Towards Data Science	https://towardsdatascience.com/generating-images-with-autoencoders-77fd3a8dd368	NULL	NULL		NULL		2019
11514	A Recipe for Training Neural Networks	https://karpathy.github.io/2019/04/25/recipe/	NULL	NULL		NULL		NULL
11516	403 Forbidden	https://www.topbots.com/generalized-language-models-tasks-datasets/	NULL	NULL		Resources		NULL
11517	403 Forbidden	https://www.topbots.com/generalized-language-models-bert-openai-gpt2/	NULL	NULL		NULL		NULL
11519	GitHub - kk7nc/Text_Classification: Text Classification Algorithms: A Survey	https://github.com/kk7nc/Text_Classification	NULL	NULL		NULL		NULL
11520	GitHub - ines/spacy-course:	https://github.com/ines/spacy-course	NULL	NULL		NULL		NULL
11521	Attention Craving RNNS: Building Up To Transformer Networks	https://www.kdnuggets.com/2019/04/attention-craving-rnn-building-transformer-networks.html	NULL	NULL		NULL		NULL
11522	Type IPA phonetic symbols - online keyboard (all languages)	http://ipa.typeit.org/full	NULL	NULL		NULL		NULL
11523	GitHub - SIMPATICOProject/simpa: SimPA corpus	https://github.com/SIMPATICOProject/simpa	NULL	NULL		NULL		NULL
11524	Transposed Convolutions explained with... MS Excel! – Apache MXNet – Medium	https://medium.com/apache-mxnet/transposed-convolutions-explained-with-ms-excel-52d13030c7e8	NULL	NULL		NULL		2018
11525	A Swift Tour  |  Swift for TensorFlow  |  TensorFlow	https://www.tensorflow.org/swift/tutorials/a_swift_tour	NULL	NULL		NULL		NULL
11526	Deep Convolutional Generative Adversarial Network  |  TensorFlow Core 2.0a  |  TensorFlow	https://www.tensorflow.org/alpha/tutorials/generative/dcgan	NULL	NULL		NULL		NULL
11536	Introduction to K-Means Clustering in Python with scikit-learn	https://blog.floydhub.com/introduction-to-k-means-clustering-in-python-with-scikit-learn/	NULL	NULL		NULL		2019
11540	Attention is not not Explanation – Yuval Pinter – Medium	https://medium.com/@yuvalpinter/attention-is-not-not-explanation-dbc25b534017	NULL	NULL		NULL		2019
11541	Everything You Need to Know About Autoencoders in TensorFlow	https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0	NULL	NULL		NULL		2019
11542	Chapter 1 - Introduction to adversarial robustness	https://adversarial-ml-tutorial.org/introduction	NULL	NULL		NULL		NULL
11543	Chapter 2 - linear models	https://adversarial-ml-tutorial.org/linear_models	NULL	NULL		NULL		NULL
11544	Chapter 3 - Adversarial examples, solving the inner maximization	https://adversarial-ml-tutorial.org/adversarial_examples	NULL	NULL		NULL		NULL
11545	Chapter 4 - Adversarial training, solving the outer minimization	https://adversarial-ml-tutorial.org/adversarial_training	NULL	NULL		NULL		NULL
11548	Word Embeddings : Intuition and (some) maths to understand end-to-end Skip-gram model	https://medium.com/@matyasamrouche19/word-embeddings-intuition-and-some-maths-to-understand-end-to-end-skip-gram-model-cab57760c745	NULL	NULL		NULL		2019
11549	Word Embedding (Part II) : Intuition and (some) maths to understand end-to-end GloVe model	https://medium.com/@matyasamrouche19/word-embedding-part-ii-intuition-and-some-maths-to-understand-end-to-end-glove-model-9b08e6bf5c06	NULL	NULL		NULL		2019
11590	GitHub - Alex-Fabbri/Multi-News: Large-scale multi-document summarization dataset and code	https://github.com/Alex-Fabbri/Multi-News	NULL	NULL		NULL		NULL
13214	The Power of Attitude Inoculation - Elemental	https://elemental.medium.com/the-power-of-attitude-inoculation-5642413fd187	NULL	NULL		NULL		NULL
13215	Could Removing Social Media Metrics Reduce Polarization?	https://onezero.medium.com/could-removing-social-media-metrics-reduce-polarization-4d604352c705	NULL	NULL		NULL		9999
13221	What is Benford’s Law and why is it important for data science?	https://www.kdnuggets.com/2019/08/benfords-law-data-science.html	NULL	NULL		NULL		9999
13222	Real-Time Natural Language Understanding with BERT Using TensorRT | NVIDIA Developer Blog	https://devblogs.nvidia.com/nlu-with-tensorrt-bert	NULL	NULL		NULL		9999
13223	Training a Neural Network? Start here! – Lavanya.ai	https://lavanya.ai/2019/08/10/training-a-neural-network-start-here/	NULL	NULL		NULL		2019
13224	Bayes Theorem: A Primer – Lavanya.ai	https://lavanya.ai/2019/05/16/bayes-theorem/	NULL	NULL		NULL		2019
13225	Machine Learning —Expectation-Maximization Algorithm (EM)	https://medium.com/@jonathan_hui/machine-learning-expectation-maximization-algorithm-em-2e954cb76959	NULL	NULL		NULL		9999
13226	What are Loss Functions in Machine Learning and How do they Work?	https://www.analyticsvidhya.com/blog/2019/08/detailed-guide-7-loss-functions-machine-learning-python-code	NULL	NULL		NULL		2019
13227	          New Releases: PyTorch 1.2, torchtext 0.4, torchaudio 0.3, and torchvision 0.4 | PyTorch      	https://pytorch.org/blog/pytorch-1.2-and-domain-api-release/?!	NULL	NULL		NULL		9999
13228	The Math behind Neural Networks: Part 1 - The Rosenblatt Perceptron - CodeProject	https://www.codeproject.com/Articles/4047091/The-Math-behind-Neural-Networks-Part-1-The-Rosenbl	NULL	NULL		NULL		9999
13230	Understanding Activation Functions in Neural Networks	https://medium.com/the-theory-of-everything/understanding-activation-functions-in-neural-networks-9491262884e0	NULL	NULL		NULL		9999
13232	Use torchtext to Load NLP Datasets — Part I - Towards Data Science	https://towardsdatascience.com/use-torchtext-to-load-nlp-datasets-part-i-5da6f1c89d84	NULL	NULL	Not Available	NULL		2019
13233	Use torchtext to Load NLP Datasets — Part II - Towards Data Science	https://towardsdatascience.com/use-torchtext-to-load-nlp-datasets-part-ii-f146c8b9a496	NULL	NULL	Not Available	NULL		2019
13234	Neural Architecture Search (NAS)- The Future of Deep Learning	https://medium.com/@ashiqbuet14/neural-architecture-search-nas-the-future-of-deep-learning-c99356351136	NULL	NULL	Not Available	NULL		2019
13235	GitHub - jasonwu0731/trade-dst: Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743	https://github.com/jasonwu0731/trade-dst	NULL	NULL	Not Available	NULL		2019
13236	Towards Reproducible Research with PyTorch Hub | PyTorch	https://pytorch.org/blog/towards-reproducible-research-with-pytorch-hub	NULL	NULL	Not Available	NULL		2019
13237	Implementing Attention Models in PyTorch - Intel Student Ambassadors - Medium	https://medium.com/intel-student-ambassadors/implementing-attention-models-in-pytorch-f947034b3e66	NULL	NULL	Not Available	NULL		2019
13238	BERT Word Embeddings Tutorial · Chris McCormick	http://mccormickml.com/2019/05/14/BERT-word-embeddings-tutorial/	NULL	NULL	Not Available	NULL		2019
13239	A Gentle Introduction to Deep Learning — [Part 1 ~ Introduction]	https://towardsdatascience.com/a-gentle-introduction-to-deep-learning-part-1-introduction-43eb199b0b9	NULL	NULL	Not Available	NULL		2019
13240	A Gentle Introduction to Deep Learning : Part 2 - Towards Data Science	https://towardsdatascience.com/a-gentle-introduction-to-deep-learning-part-2-linear-algebra-basics-7139391402c5	NULL	NULL	Not Available	NULL		2019
13241	A Gentle Introduction to Deep Learning : Part 3 - Towards Data Science	https://towardsdatascience.com/a-gentle-introduction-to-deep-learning-part-3-977d0fd1ee5c	NULL	NULL	Not Available	NULL		2019
13242	A Gentle Introduction to Deep Learning : Part 4 - Towards Data Science	https://towardsdatascience.com/a-gentle-introduction-to-deep-learning-part-4-c0044e6793d1	NULL	NULL	Not Available	NULL		2019
13243	Is Optimization a Sufficient Language for Understanding Deep Learning? – Off the convex path	http://www.offconvex.org/2019/06/03/trajectories	NULL	NULL	Not Available	NULL		2019
13244	Language, trees, and geometry in neural networks	https://pair-code.github.io/interpretability/bert-tree/	NULL	NULL	Not Available	NULL		2019
13245	GitHub - benedekrozemberczki/CapsGNN: A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).	https://github.com/benedekrozemberczki/CapsGNN	NULL	NULL	Not Available	NULL		2019
13246	A Simple Guide On Using BERT for Binary Text Classification.	https://medium.com/swlh/a-simple-guide-on-using-bert-for-text-classification-bbf041ac8d04	NULL	NULL	Not Available	NULL		2019
13247	GitHub - ncbi-nlp/BLUE_Benchmark: BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.	https://github.com/ncbi-nlp/BLUE_Benchmark	NULL	NULL	Not Available	NULL		2019
13248	Text Classification Simplified with Facebooka???s FastText - By	https://hackernoon.com/text-classification-simplified-with-facebooks-fasttext-b9d3022ac9cb	NULL	NULL	Not Available	NULL		2019
13249	Deep Learning with Python and fast.ai, Part 2: NLP Classification with Transfer Learning	https://medium.com/datadriveninvestor/deep-learning-with-python-and-fast-ai-part-2-nlp-classification-with-transfer-learning-e7aaf7514e04	NULL	NULL	Not Available	NULL		2019
13250	Deep Learning with Python and fast.ai, Part 1: Image classification with pre-trained model	https://medium.com/datadriveninvestor/deep-learning-with-python-and-fast-ai-part-1-image-classification-with-pre-trained-model-cd9364107872	NULL	NULL	Not Available	NULL		2019
13252	403 Forbidden	https://eng.uber.com/deconstructing-lottery-tickets/	NULL	NULL	Not Available	NULL		2019
13253	Understanding Capsule Networks — AI’s Alluring New Architecture	https://www.freecodecamp.org/news/understanding-capsule-networks-ais-alluring-new-architecture-bdb228173ddc/	NULL	NULL	Not Available	NULL		2019
13254	The Beginner's Guide to Dimensionality Reduction	https://idyll.pub/post/dimensionality-reduction-293e465c2a3443e8941b016d/	NULL	NULL	Not Available	NULL		2019
13255	GitHub - mathisonian/dimensionality-reduction: An idyll post all about dimensionality reduction.	https://github.com/mathisonian/dimensionality-reduction	NULL	NULL	Not Available	NULL		2019
13256	GitHub - google/active-qa	https://github.com/google/active-qa	NULL	NULL	Not Available	NULL		2019
13257	Are Weights Really Important to Neural Networks? - SyncedReview - Medium	https://medium.com/syncedreview/are-weights-really-important-to-neural-networks-c9458a99768a	NULL	NULL	Not Available	NULL		2019
13258		https://weightagnostic.github.io/	NULL	NULL	Not Available	NULL		2019
13259	GitHub - eth-sri/dl2: DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for in	https://github.com/eth-sri/dl2	NULL	NULL	Not Available	NULL		2019
13260	Google's Natural Questions	https://ai.google.com/research/NaturalQuestions/dataset	NULL	NULL	Not Available	NULL		2019
13261	PyViz: Simplifying the Data Visualisation process in Python.	https://towardsdatascience.com/pyviz-simplifying-the-data-visualisation-process-in-python-1b6d2cb728f1	NULL	NULL	Not Available	NULL		2019
13263	Linear Regression — Understanding the Theory - Towards Data Science	https://towardsdatascience.com/linear-regression-understanding-the-theory-7e53ac2831b5	NULL	NULL	Not Available	NULL		2019
13264	Introduction to Unsupervised Learning - Towards Data Science	https://towardsdatascience.com/introduction-to-unsupervised-learning-8f1b189e9050	NULL	NULL	Not Available	NULL		2019
13265	Get Started with Support Vector Machines (SVM) - Towards Data Science	https://towardsdatascience.com/get-started-with-support-vector-machines-svm-a1aa4560403b	NULL	NULL	Not Available	NULL		2019
13266	Introduction to Support Vector Machine (SVM) - Towards Data Science	https://towardsdatascience.com/introduction-to-support-vector-machine-svm-4671e2cf3755	NULL	NULL	Not Available	NULL		2019
13267	Classification (Part 1) — Intro to Logistic Regression	https://becominghuman.ai/classification-part-1-intro-to-logistic-regression-f6258791d309	NULL	NULL	Not Available	NULL		2019
13269	Index of /downloads/Antique	https://ciir.cs.umass.edu/downloads/Antique/	NULL	NULL	Not Available	NULL		2019
13272	The Python Tutorial — Python 3.7.4 documentation	https://docs.python.org/3/tutorial/	NULL	NULL	Not Available	NULL		2019
13273	Scipy Lecture Notes — Scipy lecture notes	http://scipy-lectures.org/	NULL	NULL	Not Available	NULL		2019
13276	GitHub - benedekrozemberczki/SGCN: A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).	https://github.com/benedekrozemberczki/SGCN	NULL	NULL	Not Available	NULL		2019
13278	What Is Backpropagation? — A Step-By-Step Guide To Backpropagation	https://medium.com/edureka/backpropagation-bd2cf8fdde81	NULL	NULL	Not Available	NULL		2019
13279	Recurrent Neural Networks (RNN) Tutorial — Analyzing Sequential Data Using TensorFlow In Python	https://medium.com/edureka/recurrent-neural-networks-df945afd7441	NULL	NULL	Not Available	NULL		2019
13280	PyTorch Tutorial — Implementing Deep Neural Networks Using PyTorch	https://medium.com/edureka/pytorch-tutorial-9971d66f6893	NULL	NULL	Not Available	NULL		2019
13281	SONAR Data Classification Using Single Layer Perceptrons	https://medium.com/edureka/perceptron-learning-algorithm-d30e8b99b156	NULL	NULL	Not Available	NULL		2019
13282	Neural Network Tutorial — Know How To Model A Multi-Layer Neural Network	https://medium.com/edureka/neural-network-tutorial-2a46b22394c9	NULL	NULL	Not Available	NULL		2019
13283	Deep Learning With Python - A Comprehensive Guide to Deep Learning	https://medium.com/edureka/deep-learning-with-python-2adbf6e9437d	NULL	NULL	Not Available	NULL		2019
13284	Artificial Intelligence Tutorial —A Comprehensive Guide To AI	https://medium.com/edureka/artificial-intelligence-tutorial-4257c66f5bb1	NULL	NULL	Not Available	NULL		2019
13285	How To Perform Data Compression Using Autoencoders?	https://medium.com/edureka/autoencoders-tutorial-cfdcebdefe37	NULL	NULL	Not Available	NULL		2019
13286	Not Acceptable!	http://www.adeveloperdiary.com/data-science/machine-learning/understand-and-implement-the-backpropagation-algorithm-from-scratch-in-python/	NULL	NULL	Not Available	NULL		2019
13287	Not Acceptable!	http://www.adeveloperdiary.com/data-science/deep-learning/implement-neural-network-using-pytorch/	NULL	NULL	Not Available	NULL		2019
13288	Not Acceptable!	http://www.adeveloperdiary.com/data-science/deep-learning/neural-network-with-softmax-in-python/	NULL	NULL	Not Available	NULL		2019
13293	Backpropagation for dummies | Sachin Joglekar's blog	https://codesachin.wordpress.com/2015/12/06/backpropagation-for-dummies/	NULL	NULL	Not Available	NULL		2019
13294	403 Forbidden	https://machinelearningmastery.com/implement-backpropagation-algorithm-scratch-python/	NULL	NULL	Not Available	NULL		2019
13295	A beginner’s guide to deriving and implementing backpropagation	https://medium.com/binaryandmore/beginners-guide-to-deriving-and-implementing-backpropagation-e3c1a5a1e536	NULL	NULL	Not Available	NULL		2019
13297	Introduction to recurrent neural networks.	https://www.jeremyjordan.me/introduction-to-recurrent-neural-networks/	NULL	NULL	Not Available	NULL		2019
13298	Introduction to autoencoders.	https://www.jeremyjordan.me/autoencoders/	NULL	NULL	Not Available	NULL		2019
13299	Implementations of Monte Carlo and Temporal Difference learning.	https://www.jeremyjordan.me/rl-learning-implementations/	NULL	NULL	Not Available	NULL		2019
13300	Overview of reinforcement learning.	https://www.jeremyjordan.me/overview-of-reinforcement-learning/	NULL	NULL	Not Available	NULL		2019
13301	Principal components analysis (PCA).	https://www.jeremyjordan.me/principal-components-analysis/	NULL	NULL	Not Available	NULL		2019
13302	Support vector machines.	https://www.jeremyjordan.me/support-vector-machines/	NULL	NULL	Not Available	NULL		2019
13303	Logistic regression.	https://www.jeremyjordan.me/logistic-regression/	NULL	NULL	Not Available	NULL		2019
13304	Naive Bayes classification.	https://www.jeremyjordan.me/naive-bayes-classification/	NULL	NULL	Not Available	NULL		2019
13305	Gradient descent.	https://www.jeremyjordan.me/gradient-descent/	NULL	NULL	Not Available	NULL		2019
13306	Convolutional neural networks.	https://www.jeremyjordan.me/convolutional-neural-networks/	NULL	NULL	Not Available	NULL		2019
13307	Setting the learning rate of your neural network.	https://www.jeremyjordan.me/nn-learning-rate/	NULL	NULL	Not Available	NULL		2019
13308	Identifying related bodies of text using TF-IDF vectorization.	https://www.jeremyjordan.me/identifying-related-bodies-of-text-using-tf-idf-vectorization/	NULL	NULL	Not Available	NULL		2019
13309	SQL for data analysis.	https://www.jeremyjordan.me/sql/	NULL	NULL	Not Available	NULL		2019
13310	Implementing a flexible neural network with backpropagation from scratch	https://blog.zhaytam.com/2018/08/15/implement-neural-network-backpropagation/	NULL	NULL	Not Available	NULL		2019
13312	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/gradient-descent-and-backpropagation	NULL	NULL	Not Available	NULL		2019
13313	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/multi-layer-perceptrons	NULL	NULL	Not Available	NULL		2019
13314	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/tensorflow	NULL	NULL	Not Available	NULL		2019
13315	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/training-criterion	NULL	NULL	Not Available	NULL		2019
13316	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/perceptrons	NULL	NULL	Not Available	NULL		2019
13317	Coding Games and Programming Challenges to Code Better	https://www.codingame.com/playgrounds/9487/deep-learning-from-scratch---theory-and-implementation/computational-graphs	NULL	NULL	Not Available	NULL		2019
13318	Machine Learning with Python: Backpropagation in Neural Network	https://www.python-course.eu/neural_networks_backpropagation.php	NULL	NULL	Not Available	NULL		2019
13319	Machine Learning with Python: Principal Component Analysis in Python	https://www.python-course.eu/principal_component_analysis.php	NULL	NULL	Not Available	NULL		2019
13320	How to build a three-layer neural network from scratch	https://www.freecodecamp.org/news/building-a-3-layer-neural-network-from-scratch-99239c4af5d3/	NULL	NULL	Not Available	NULL		2019
13321	A friendly introduction to Backpropagation in Python	https://becominghuman.ai/a-friendly-introduction-to-backpropagation-in-python-8fb4d6eebc5e	NULL	NULL	Not Available	NULL		2019
13322	Cristian Dima - Neural networks from scratch in Python	http://www.cristiandima.com/neural-networks-from-scratch-in-python/	NULL	NULL	Not Available	NULL		2019
13323	ML From Scratch, Part 3: Backpropagation - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-3-backpropagation/	NULL	NULL	Not Available	NULL		2019
13324	ML From Scratch, Part 2: Logistic Regression - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-2-logistic-regression/	NULL	NULL	Not Available	NULL		2019
13325	ML From Scratch, Part 5: Gaussian Mixture Models - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-5-gmm/	NULL	NULL	Not Available	NULL		2019
13326	ML From Scratch, Part 4: Decision Trees - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-4-decision-tree/	NULL	NULL	Not Available	NULL		2019
13327	ML From Scratch, Part 0: Introduction - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-0-introduction/	NULL	NULL	Not Available	NULL		2019
13328	ML From Scratch, Part 1: Linear Regression - OranLooney.com	http://www.oranlooney.com/post/ml-from-scratch-part-1-linear-regression/	NULL	NULL	Not Available	NULL		2019
13329	Creating a Neural Network from Scratch in Python	https://stackabuse.com/creating-a-neural-network-from-scratch-in-python/	NULL	NULL	Not Available	NULL		2019
13330	Understanding Transformers in NLP: State-of-the-Art Models	https://www.analyticsvidhya.com/blog/2019/06/understanding-transformers-nlp-state-of-the-art-models	NULL	NULL	Not Available	NULL		2019
13331	The Data Fabric for Machine Learning. Part 1-b: Deep Learning on Graphs.	https://towardsdatascience.com/the-data-fabric-for-machine-learning-part-1-b-deep-learning-on-graphs-309316774fe7	NULL	NULL	Not Available	NULL		2019
13332	The Data Fabric for Machine Learning. Part 1. - Towards Data Science	https://towardsdatascience.com/the-data-fabric-for-machine-learning-part-1-2c558b7035d7	NULL	NULL	Not Available	NULL		2019
13333	Long Short-Term Memory: From Zero to Hero with PyTorch	https://blog.floydhub.com/long-short-term-memory-from-zero-to-hero-with-pytorch	NULL	NULL	Not Available	NULL		2019
13334	Introduction to Genetic Algorithms	https://blog.floydhub.com/introduction-to-genetic-algorithms/	NULL	NULL	Not Available	NULL		2019
13335	Beginner’s Guide on Recurrent Neural Networks with PyTorch	https://blog.floydhub.com/a-beginners-guide-on-recurrent-neural-networks-with-pytorch/	NULL	NULL	Not Available	NULL		2019
13345	Generating Commencement Speeches with Markov Chains on FloydHub	https://blog.floydhub.com/markov-chains/	NULL	NULL	Not Available	NULL		2019
13346	403 Forbidden	https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans	NULL	NULL	Not Available	NULL		2019
13347	GitHub - goodfeli/dlbook_exercises: Exercises for the Deep Learning textbook at www.deeplearningbook.org	https://github.com/goodfeli/dlbook_exercises	NULL	NULL	Not Available	NULL		2019
13349	How to implement the backpropagation using Python and NumPy – Microsoft Faculty Connection	https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/07/04/how-to-implement-the-backpropagation-using-python-and-numpy/	NULL	NULL	Not Available	NULL		2019
13350	Simplifying Google AI's Best Paper from ICML 2019	https://www.analyticsvidhya.com/blog/2019/06/simplifying-google-ai-best-paper-icml-2019	NULL	NULL	Not Available	NULL		2019
13351	Event2Mind: Commonsense Inference on Events, Intents and Reactions	https://uwnlp.github.io/event2mind/	NULL	NULL	Not Available	NULL		2019
13352	MathQA-Dataset	https://math-qa.github.io/math-QA/	NULL	NULL	Not Available	NULL		2019
13353	GitHub - asafamr/bertwsi: Word Sense Induction with BERT MLM	https://github.com/asafamr/bertwsi	NULL	NULL	Not Available	NULL		2019
13354	GitHub - blei-lab/causal-text-embeddings: Software and data for "Using Text Embeddings for Causal Inference"	https://github.com/blei-lab/causal-text-embeddings	NULL	NULL	Not Available	NULL		2019
13355	pytorch-transformers/notebooks at master · huggingface/pytorch-transformers · GitHub	https://github.com/huggingface/pytorch-pretrained-BERT/tree/master/notebooks	NULL	NULL	Not Available	NULL		2019
13356	Defending Against Neural Fake News	https://rowanzellers.com/grover/	NULL	NULL	Not Available	NULL		2019
13357	GitHub - pmichel31415/jsalt-2019-mt-tutorial: MT Tutorial for the JSALT 2019 Summer School	https://github.com/pmichel31415/jsalt-2019-mt-tutorial	NULL	NULL	Not Available	NULL		2019
13358	Generative Adversarial Networks - The Story So Far	https://blog.floydhub.com/gans-story-so-far/?	NULL	NULL	Not Available	NULL		2019
13359	GitHub - atcbosselut/comet-commonsense: Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317	https://github.com/atcbosselut/comet-commonsense	NULL	NULL	Not Available	NULL		2019
13360	GitHub - markriedl/easygen	https://github.com/markriedl/easygen	NULL	NULL	Not Available	NULL		2019
13361	Neural networks for solving differential equations - Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/neural-networks-for-solving-differential-equations-fa230ac5e04c	NULL	NULL	Not Available	NULL		2019
13362	Making a Simple Neural Network - Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/making-a-simple-neural-network-2ea1de81ec20	NULL	NULL	Not Available	NULL		2019
13363	Let’s build a simple Neural Net! - Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/lets-build-a-simple-neural-net-f4474256647f	NULL	NULL	Not Available	NULL		2019
13364	Neural Net from scratch (using Numpy) - Towards Data Science	https://towardsdatascience.com/neural-net-from-scratch-using-numpy-71a31f6e3675	NULL	NULL	Not Available	NULL		2019
13365	Guest Post (Part I): Demystifying Deep Reinforcement Learning - Intel AI	https://www.intel.ai/demystifying-deep-reinforcement-learning/	NULL	NULL	Not Available	NULL		2019
13366	Guest Post (Part II): Deep Reinforcement Learning with Neon - Intel AI	https://www.intel.ai/deep-reinforcement-learning-with-neon/	NULL	NULL	Not Available	NULL		2019
13367	Receiver Operating Characteristic Curves Demystified (in Python)	https://towardsdatascience.com/receiver-operating-characteristic-curves-demystified-in-python-bd531a4364d0	NULL	NULL	Not Available	NULL		2019
13368	The Basics of Recurrent Neural Networks (RNNs) - Towards AI - Medium	https://medium.com/towards-artificial-intelligence/whirlwind-tour-of-rnns-a11effb7808f	NULL	NULL	Not Available	NULL		2019
13369	Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch	https://medium.com/@rafayak/nothing-but-numpy-understanding-creating-neural-networks-with-computational-graphs-from-scratch-6299901091b0	NULL	NULL	Not Available	NULL		2019
13370	GitHub - RafayAK/NothingButNumPy: This repo is part of the a blog post "Nothing but NumPy: Understanding & Creating neural networks with computational graphs from scratch"	https://github.com/RafayAK/NothingButNumPy	NULL	NULL	Not Available	NULL		2019
13371	Introducing MASS – A pre-training method that outperforms BERT and GPT in sequence to sequence language generation tasks - Microsoft Research	https://www.microsoft.com/en-us/research/blog/introducing-mass-a-pre-training-method-that-outperforms-bert-and-gpt-in-sequence-to-sequence-language-generation-tasks/	NULL	NULL	Not Available	NULL		2019
13372	A Visual Intro to NumPy and Data Representation – Jay Alammar – Visualizing machine learning one concept at a time	http://jalammar.github.io/visual-numpy/	NULL	NULL	Not Available	NULL		2019
13373	Basic NLP with NLTK | Kaggle	https://www.kaggle.com/alvations/basic-nlp-with-nltk	NULL	NULL	Not Available	NULL		2019
13374	Google AI Blog: Innovations in Graph Representation Learning	https://ai.googleblog.com/2019/06/innovations-in-graph-representation.html	NULL	NULL	Not Available	NULL		2019
13375	Neural Networks Learning the Basics Part 0 – Sam's Blog	https://samzee.net/2019/02/17/neural-networks-learning-the-basics-part-0/	NULL	NULL	Not Available	NULL		2019
13376	Neural Networks Learning The Basics : Layers, Matrix Multiplication – Sam's Blog	https://samzee.net/2019/02/17/neural-networks-basics-part-1-layers/	NULL	NULL	Not Available	NULL		2019
13377	Neural Networks Learning The Basics : Layers, Activation – Sam's Blog	https://samzee.net/2019/02/18/neural-networks-learning-the-basics-layers-activation/	NULL	NULL	Not Available	NULL		2019
13378	Neural Networks Learning The Basics: Gradient Descent and Stochastic Gradient Descent – Sam's Blog	https://samzee.net/2019/02/23/neural-networks-learning-the-basics-gradient-descent-and-stochastic-gradient-descent/	NULL	NULL	Not Available	NULL		2019
13379	Neural Networks Learning The Basics: Backpropagation – Sam's Blog	https://samzee.net/2019/02/20/neural-networks-learning-the-basics-backpropagation/	NULL	NULL	Not Available	NULL		2019
13380	Neural Networks Learning The Basics: The Playground – Sam's Blog	https://samzee.net/2019/03/01/neural-network-playground/	NULL	NULL	Not Available	NULL		2019
13383	The OpenAI GPT 2 Controversy  - Examining The Transformer Architecture	https://blog.exxactcorp.com/transformer-architecture-part-1/	NULL	NULL	Not Available	NULL		2019
13384	How Do Transformers  Work? Part 2: Examining Transformer Architecture	https://blog.exxactcorp.com/transformer-architecture-part-2/	NULL	NULL	Not Available	NULL		2019
13385	Training a Transformer Model from Scratch in Docker with TensorFlow	https://blog.exxactcorp.com/examining-the-transformer-architecture-part-3-training-a-transformer-network-from-scratch-in-docker	NULL	NULL	Not Available	NULL		2019
13388	Meta Reinforcement Learning	https://lilianweng.github.io/lil-log/2019/06/23/meta-reinforcement-learning.html	NULL	NULL	Not Available	NULL		2019
13389	GitHub - rowanz/grover: Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/	https://github.com/rowanz/grover	NULL	NULL	Not Available	NULL		2019
13390	Distilling BERT — How to achieve BERT performance using Logistic Regression	https://towardsdatascience.com/distilling-bert-how-to-achieve-bert-performance-using-logistic-regression-69a7fc14249d	NULL	NULL	Not Available	NULL		2019
13391	Unifying Word Embeddings and Matrix Factorization — Part 2	https://medium.com/radix-ai-blog/unifying-word-embeddings-and-matrix-factorization-part-2-a0174ace78b8	NULL	NULL	Not Available	NULL		2019
13392	Unifying Word Embeddings and Matrix Factorization — Part 3	https://medium.com/radix-ai-blog/unifying-word-embeddings-and-matrix-factorization-part-3-4269d9a07470	NULL	NULL	Not Available	NULL		2019
13393	GitHub - clarkkev/attention-analysis	https://github.com/clarkkev/attention-analysis	NULL	NULL	Not Available	NULL		2019
13394	Machine Learning on Graphs - Neo4j Developer Blog - Medium	https://medium.com/neo4j/machine-learning-on-graphs-fca6eeb8f1d1	NULL	NULL	Not Available	NULL		2019
13395	GitHub - nlptown/nlp-notebooks: A collection of notebooks for Natural Language Processing from NLP Town	https://github.com/nlptown/nlp-notebooks	NULL	NULL	Not Available	NULL		2019
13397	Bash Guide for Beginners	http://www.tldp.org/LDP/Bash-Beginners-Guide/html/	NULL	NULL	Not Available	NULL		2019
13398	Basics of BASH for Beginners. - Towards Data Science	https://towardsdatascience.com/basics-of-bash-for-beginners-92e53a4c117a	NULL	NULL	Not Available	NULL		2019
13399	What is text similarity? | Kavita Ganesan	http://kavita-ganesan.com/what-is-text-similarity	NULL	NULL	Not Available	NULL		2019
13400	What is ROUGE and how it works for evaluation of summaries? | Kavita Ganesan	http://kavita-ganesan.com/what-is-rouge-and-how-it-works-for-evaluation-of-summaries/	NULL	NULL	Not Available	NULL		2019
13402	Useful tips on using MEAD Summarization Toolkit | Kavita Ganesan	http://kavita-ganesan.com/mead	NULL	NULL	Not Available	NULL		2019
13403	How to incorporate phrases into Word2Vec - a text mining approach | Kavita Ganesan	http://kavita-ganesan.com/how-to-incorporate-phrases-into-word2vec-a-text-mining-approach/	NULL	NULL	Not Available	NULL		2019
13404	Gensim Word2Vec Tutorial - Full Working Example | Kavita Ganesan	http://kavita-ganesan.com/gensim-word2vec-tutorial-starter-code/	NULL	NULL	Not Available	NULL		2019
13405	Tutorial: Extracting Keywords with TF-IDF and Python's Scikit-Learn	http://kavita-ganesan.com/extracting-keywords-from-text-tfidf/	NULL	NULL	Not Available	NULL		2019
13406	How to Use Tfidftransformer & Tfidfvectorizer - A Short Tutorial | Kavita Ganesan	http://kavita-ganesan.com/tfidftransformer-tfidfvectorizer-usage-differences/	NULL	NULL	Not Available	NULL		2019
13407	WMD_tutorial	https://markroxor.github.io/gensim/static/notebooks/WMD_tutorial.html	NULL	NULL	Not Available	NULL		2019
13416	Understanding Entity Embeddings and It’s Application	https://towardsdatascience.com/understanding-entity-embeddings-and-its-application-69e37ae1501d	NULL	NULL	Not Available	NULL		2019
13417	Sentence Embeddings. Fast, please! - Towards Data Science	https://towardsdatascience.com/fse-2b1ffa791cf9	NULL	NULL	Not Available	NULL		2019
13419	Machine Learning for Beginners: An Introduction to Neural Networks - victorzhou.com	https://victorzhou.com/blog/intro-to-neural-networks/	NULL	NULL	Not Available	NULL		2019
13420	A Simple Explanation of Information Gain and Entropy - victorzhou.com	https://victorzhou.com/blog/information-gain/	NULL	NULL	Not Available	NULL		2019
13421	CNNs, Part 2: Training a Convolutional Neural Network - victorzhou.com	https://victorzhou.com/blog/intro-to-cnns-part-2/	NULL	NULL	Not Available	NULL		2019
13422	SIMPLE TENSORFLOW TUTORIAL - Lankinen - Medium	https://medium.com/@lankinen/simple-tensorflow-tutorial-56f22990d440	NULL	NULL	Not Available	NULL		2019
13423	Quickstart tutorial — NumPy v1.17 Manual	https://docs.scipy.org/doc/numpy/user/quickstart.html	NULL	NULL	Not Available	NULL		2019
13424	Bias-Variance: A Comprehensive Graphical Representation | Gadictos	https://gadictos.com/bias-variance/	NULL	NULL	Not Available	NULL		2019
13425	Building a Feedforward Neural Network using Pytorch NN Module	https://www.marktechpost.com/2019/06/30/building-a-feedforward-neural-network-using-pytorch-nn-module	NULL	NULL	Not Available	NULL		2019
13426	Building State-of-the-Art Language Models with BERT	https://medium.com/saarthi-ai/bert-how-to-build-state-of-the-art-language-models-59dddfa9ac5d	NULL	NULL	Not Available	NULL		2019
13427	Why do Transformers yield Superior Sequence to Sequence(Seq2Seq)Results?	https://medium.com/saarthi-ai/transformers-attention-based-seq2seq-machine-translation-a28940aaa4fe	NULL	NULL	Not Available	NULL		2019
13428	Transformer-XL : Unlocking Long-term Dependencies for Effective Language Modelling	https://medium.com/saarthi-ai/a-quick-look-into-transformer-xl-57b3e84cdf99	NULL	NULL	Not Available	NULL		2019
13429	A Quick Introduction to Numpy - Dhairya Patel - Medium	https://medium.com/@dhairyapatel_78047/a-quick-introduction-to-numpy-b303e7665822	NULL	NULL	Not Available	NULL		2019
13430	Custom Named Entity Recognition Using spaCy - Towards Data Science	https://towardsdatascience.com/custom-named-entity-recognition-using-spacy-7140ebbb3718	NULL	NULL	Not Available	NULL		2019
13431	Learn Web Scraping using Python in under 5 minutes - Kaustumbh Jaiswal - Medium	https://medium.com/@kaustumbhjaiswal7/learn-web-scraping-using-python-in-under-5-minutes-36a7d4d6e1e7	NULL	NULL	Not Available	NULL		2019
13432	Bias Variance Trade-off [Part 1] – My Journey with Deep Learning and Computer Vision	https://expoundai.wordpress.com/2019/05/20/bias-variance-trade-off-part-1/	NULL	NULL	Not Available	NULL		2019
13433	Back-propagation Demystified [Part 1] – My Journey with Deep Learning and Computer Vision	https://expoundai.wordpress.com/2019/05/19/back-propagation-demystified-part-1/	NULL	NULL	Not Available	NULL		2019
13434	Back-propagation Demystified [Part 2] – My Journey with Deep Learning and Computer Vision	https://expoundai.wordpress.com/2019/07/01/back-propagation-demystified-part-2/	NULL	NULL	Not Available	NULL		2019
13438	Maxima vs Minima and Global vs Local – My Journey with Deep Learning and Computer Vision	https://expoundai.wordpress.com/2019/04/27/maxima-vs-minima-and-global-vs-local/	NULL	NULL	Not Available	NULL		2019
13439	PageRank Algorithm - The Mathematics of Google Search	http://pi.math.cornell.edu/~mec/Winter2009/RalucaRemus/Lecture3/lecture3.html	NULL	NULL	Not Available	NULL		2019
13440	  Building a Recommender System, Part 2	https://www.kdnuggets.com/2019/07/building-recommender-system-part-2.html	NULL	NULL	Not Available	NULL		2019
13441	Building a Recommender System	https://www.kdnuggets.com/2019/04/building-recommender-system.html	NULL	NULL	Not Available	NULL		2019
13442	404: Page not found | Daniel Daza	https://dfdazac.github.io/sinkhorn.htm	NULL	NULL	Not Available	NULL		2019
13443	Dimensionality Reduction For Dummies — Part 1: Intuition	https://towardsdatascience.com/https-medium-com-abdullatif-h-dimensionality-reduction-for-dummies-part-1-a8c9ec7b7e79	NULL	NULL	Not Available	NULL		2019
13444	Dimensionality Reduction For Dummies — Part 2: Laying The Bricks	https://towardsdatascience.com/dimensionality-reduction-for-dummies-part-2-3b1e3490bdc9	NULL	NULL	Not Available	NULL		2019
13445	Dimensionality Reduction For Dummies — Part 3: Connect The Dots	https://towardsdatascience.com/dimensionality-reduction-for-dummies-part-3-f25729f74c0a	NULL	NULL	Not Available	NULL		2019
13446	Explain NLP models with LIME & SHAP - Towards Data Science	https://towardsdatascience.com/explain-nlp-models-with-lime-shap-5c5a9f84d59b	NULL	NULL	Not Available	NULL		2019
13447	Lime - multiclass	https://marcotcr.github.io/lime/tutorials/Lime%20-%20multiclass.html	NULL	NULL	Not Available	NULL		2019
13448	Aspects of language captured by BERT - dair.ai - Medium	https://medium.com/dair-ai/aspects-of-language-captured-by-bert-32bc3c54016f	NULL	NULL	Not Available	NULL		2019
13449	Linear Algebra. SVD and PCA - Machine Learning World - Medium	https://towardsdatascience.com/linear-algebra-svd-and-pca-5979f739e95a	NULL	NULL	Not Available	NULL		2019
13450	403 Forbidden	https://machinelearningmastery.com/how-to-develop-a-conditional-generative-adversarial-network-from-scratch	NULL	NULL	Not Available	NULL		2019
13451	Scrapy 1.7 documentation — Scrapy 1.7.3 documentation	https://docs.scrapy.org/en/latest/index.html	NULL	NULL	Not Available	NULL		2019
13452	GitHub - kavgan/phrase-at-scale: Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English	https://github.com/kavgan/phrase-at-scale	NULL	NULL	Not Available	NULL		2019
13453	GitHub - javedqadruddin/person2vec	https://github.com/javedqadruddin/person2vec	NULL	NULL	Not Available	NULL		2019
13454	Matrices as Tensor Network Diagrams	https://www.math3ma.com/blog/matrices-as-tensor-network-diagrams	NULL	NULL	Not Available	NULL		2019
13455	Sucuri WebSite Firewall - Access Denied	https://labs.eleks.com/2018/02/how-to-build-nlp-engine-that-wont-screw-up.html	NULL	NULL	Not Available	NULL		2019
13456	GitHub - RaRe-Technologies/gensim-data: Data repository for pretrained NLP models and NLP corpora.	https://github.com/RaRe-Technologies/gensim-data	NULL	NULL	Not Available	NULL		2019
13457	Bayesian inference problem, MCMC and variational inference	https://towardsdatascience.com/bayesian-inference-problem-mcmc-and-variational-inference-25a8aa9bce29	NULL	NULL	Not Available	NULL		2019
13458	Chapter 3: Probability and Information Theory - Willam Green - Medium	https://medium.com/@dskswu/chapter-3-probability-and-information-theory-ecad8b1aeefe	NULL	NULL	Not Available	NULL		2019
13459	Linear Algebra! Ain’t Nobody Got The Time For That - Willam Green - Medium	https://medium.com/@dskswu/linear-algebra-aint-nobody-got-the-time-for-that-ee0c98cfdf25	NULL	NULL	Not Available	NULL		2019
13460	Scalars, Vectors and Matrices, oh my! - Willam Green - Medium	https://medium.com/@dskswu/scalars-vectors-and-matrices-oh-my-9054d2bda1f9	NULL	NULL	Not Available	NULL		2019
13461	GitHub - mikhailklassen/Mining-the-Social-Web-3rd-Edition: The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)	https://github.com/mikhailklassen/Mining-the-Social-Web-3rd-Edition	NULL	NULL	Not Available	NULL		2019
13462	Tutorial: Quickstart — TextBlob 0.15.2 documentation	https://textblob.readthedocs.io/en/dev/quickstart.html	NULL	NULL	Not Available	NULL		2019
13464	TensorFlow Tutorial — A Comprehensive Guide To Deep Learning Using TensorFlow	https://medium.com/edureka/tensorflow-tutorial-ba142ae96bca	NULL	NULL	Not Available	NULL		2019
13465	Convolutional Neural Network (CNN) — Developing An Image Classifier In Python Using TensorFlow	https://medium.com/edureka/convolutional-neural-network-3f2c5b9c4778	NULL	NULL	Not Available	NULL		2019
13466	Capsule Neural Networks - Set of Nested Neural Layers	https://medium.com/edureka/capsule-networks-d7acd437c9e	NULL	NULL	Not Available	NULL		2019
13467	Restricted Boltzmann Machine Tutorial — A Beginner’s Guide To RBM	https://medium.com/edureka/restricted-boltzmann-machine-tutorial-991ae688c154	NULL	NULL	Not Available	NULL		2019
13468	PyTorch v/s TensorFlow - Which Is The Better Framework?	https://medium.com/edureka/pytorch-vs-tensorflow-252fc6675dd7	NULL	NULL	Not Available	NULL		2019
13469	Artificial Intelligence Algorithms For Beginners | Edureka	https://www.edureka.co/blog/artificial-intelligence-algorithms/	NULL	NULL	Not Available	NULL		2019
13470	GitHub - benedekrozemberczki/AttentionWalk: A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).	https://github.com/benedekrozemberczki/AttentionWalk	NULL	NULL	Not Available	NULL		2019
13471	Deep Learning With Python | The all you need to know Tutorial | Edureka	https://www.edureka.co/blog/deep-learning-with-python/	NULL	NULL	Not Available	NULL		2019
13472	403 Forbidden	https://machinelearningmastery.com/tour-of-generative-adversarial-network-models/	NULL	NULL	Not Available	NULL		2019
13473	Linear Algebra. SVD and PCA - Machine Learning World - Medium	https://medium.com/machine-learning-world/linear-algebra-svd-and-pca-5979f739e95a	NULL	NULL	Not Available	NULL		2019
13474	An Introduction to Probability & Statistics	https://skerritt.blog/an-introduction-to-probability-statistics/	NULL	NULL	Not Available	NULL		2019
13475	Understand how the XLNet outperforms BERT in Language Modelling	https://medium.com/saarthi-ai/xlnet-the-permutation-language-model-b30f5b4e3c1e	NULL	NULL	Not Available	NULL		2019
13476	Tutorial : Building a custom OCR using YOLO and Tesseract	https://medium.com/saarthi-ai/how-to-build-your-own-ocr-a5bb91b622ba	NULL	NULL	Not Available	NULL		2019
13477	A Gentle Intro to PyTorch - Gaurav's Blog	http://blog.gaurav.im/2017/04/24/a-gentle-intro-to-pytorch/	NULL	NULL	Not Available	NULL		2019
13479	Deep Learning without Backpropagation - i am trask	http://iamtrask.github.io/2017/03/21/synthetic-gradients/	NULL	NULL	Not Available	NULL		2019
13480	Tutorial: Deep Learning in PyTorch - i am trask	http://iamtrask.github.io/2017/01/15/pytorch-tutorial/	NULL	NULL	Not Available	NULL		2019
13481	Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask	http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/	NULL	NULL	Not Available	NULL		2019
13482	A Neural Network in 13 lines of Python (Part 2 - Gradient Descent) - i am trask	http://iamtrask.github.io/2015/07/27/python-network-part2/	NULL	NULL	Not Available	NULL		2019
13483	Linear algebra cheat sheet for deep learning - Towards Data Science	https://towardsdatascience.com/linear-algebra-cheat-sheet-for-deep-learning-cd67aba4526c	NULL	NULL	Not Available	NULL		2019
13484	Can neural networks solve any problem? - Towards Data Science	https://towardsdatascience.com/can-neural-networks-really-learn-any-function-65e106617fc6	NULL	NULL	Not Available	NULL		2019
13485	Linear Regression using Python - Towards Data Science	https://towardsdatascience.com/linear-regression-using-python-b136c91bf0a2	NULL	NULL	Not Available	NULL		2019
13486	Deep Learning Best Practices: Activation Functions & Weight Initialization Methods — Part 1	https://medium.com/datadriveninvestor/deep-learning-best-practices-activation-functions-weight-initialization-methods-part-1-c235ff976ed	NULL	NULL	Not Available	NULL		2019
13487	GitHub - ddbourgin/numpy-ml: Machine learning, in numpy	https://github.com/ddbourgin/numpy-ml	NULL	NULL	Not Available	NULL		2019
13488	Dynamic Meta Embeddings - Towards Data Science	https://medium.com/@eliorcohen/dynamic-meta-embeddings-f97e2c682187	NULL	NULL	Not Available	NULL		2019
13489	Neural Networks from Scratch. Easy vs hard - Towards Data Science	https://towardsdatascience.com/neural-networks-from-scratch-easy-vs-hard-b26ddc2e89c7	NULL	NULL	Not Available	NULL		2019
13490	Build the right Autoencoder — Tune and Optimize using PCA principles. Part I	https://towardsdatascience.com/build-the-right-autoencoder-tune-and-optimize-using-pca-principles-part-i-1f01f821999b	NULL	NULL	Not Available	NULL		2019
13491	Build the right Autoencoder — Tune and Optimize using PCA principles. Part II	https://towardsdatascience.com/build-the-right-autoencoder-tune-and-optimize-using-pca-principles-part-ii-24b9cca69bd6	NULL	NULL	Not Available	NULL		2019
13492	Understanding Convolution in Deep Learning — Tim Dettmers	https://timdettmers.com/2015/03/26/convolution-deep-learning/	NULL	NULL	Not Available	NULL		2019
13494	A Full Hardware Guide to Deep Learning — Tim Dettmers	https://timdettmers.com/2018/12/16/deep-learning-hardware-guide/	NULL	NULL	Not Available	NULL		2019
13495	Which GPU(s) to Get for Deep Learning	https://timdettmers.com/2019/04/03/which-gpu-for-deep-learning/	NULL	NULL	Not Available	NULL		2019
13496	Building NLP Content-Based Recommender Systems - Armand Olivares - Medium	https://medium.com/@armandj.olivares/building-nlp-content-based-recommender-systems-b104a709c042	NULL	NULL	Not Available	NULL		2019
13498	403 Forbidden	https://machinelearningmastery.com/implement-perceptron-algorithm-scratch-python/	NULL	NULL	Not Available	NULL		2019
13499	An introduction to Support Vector Machines (SVM)	https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/	NULL	NULL	Not Available	NULL		2019
13500	A practical explanation of a Naive Bayes classifier	https://monkeylearn.com/blog/practical-explanation-naive-bayes-classifier/	NULL	NULL	Not Available	NULL		2019
13501	The Definitive Guide to Natural Language Processing	https://monkeylearn.com/blog/definitive-guide-natural-language-processing/	NULL	NULL	Not Available	NULL		2019
13503	The Nature of Code	https://natureofcode.com/book/chapter-10-neural-networks	NULL	NULL	Not Available	NULL		2019
13504	The Nature of Code	https://natureofcode.com/book/chapter-1-vectors/	NULL	NULL	Not Available	NULL		2019
13505	L1 vs. L2 Loss function – Rishabh Shukla	http://rishy.github.io/ml/2015/07/28/l1-vs-l2-loss/	NULL	NULL	Not Available	NULL		2019
13506	403 Forbidden	https://machinelearningmastery.com/gentle-introduction-backpropagation-time/	NULL	NULL	Not Available	NULL		2019
13507	Machine Learning with Python - Quick Guide	https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_quick_guide.htm	NULL	NULL	Not Available	NULL		2019
13508	Sentiment Analysis with Python	https://monkeylearn.com/blog/sentiment-analysis-with-python/	NULL	NULL	Not Available	NULL		2019
13509	Deep Learning in a Nutshell: Reinforcement Learning	https://devblogs.nvidia.com/deep-learning-nutshell-reinforcement-learning/	NULL	NULL	Not Available	NULL		2019
13510	Deep Learning in a Nutshell: History and Training | NVIDIA Developer Blog	https://devblogs.nvidia.com/deep-learning-nutshell-history-training/	NULL	NULL	Not Available	NULL		2019
13511	Deep Learning in a Nutshell: Core Concepts	https://devblogs.nvidia.com/deep-learning-nutshell-core-concepts/	NULL	NULL	Not Available	NULL		2019
13512	Deep Learning in a Nutshell: Sequence Learning	https://devblogs.nvidia.com/deep-learning-nutshell-sequence-learning/	NULL	NULL	Not Available	NULL		2019
13513	Learn to Build your First Speech-to-Text Model in Python	https://www.analyticsvidhya.com/blog/2019/07/learn-build-first-speech-to-text-model-python/	NULL	NULL	Not Available	NULL		2019
13514	How to Get Started with NLP - 6 Unique Methods to Perform Tokenization	https://www.analyticsvidhya.com/blog/2019/07/how-get-started-nlp-6-unique-ways-perform-tokenization	NULL	NULL	Not Available	NULL		2019
13515	Breakthrough Research Papers and Models for Sentiment Analysis	https://blog.paralleldots.com/data-science/breakthrough-research-papers-and-models-for-sentiment-analysis/	NULL	NULL	Not Available	NULL		2019
13516	Deep Learning 18: GANs with PyTorch – Night Ca?fe	https://ireneli.eu/2019/07/16/deep-learning-18-gans-with-pytorch	NULL	NULL	Not Available	NULL		2019
13518	GitHub - uber-research/plato-research-dialogue-system: This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.	https://github.com/uber-research/plato-research-dialogue-system	NULL	NULL	Not Available	NULL		2019
13519	Eric Jang: Meta-Learning in 50 Lines of JAX	https://blog.evjang.com/2019/02/maml-jax.html	NULL	NULL	Not Available	NULL		2019
13520	The Math Behind Machine Learning - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/the-math-behind-machine-learning-2e38d8718d17	NULL	NULL	Not Available	NULL		2019
13521		https://opendatascience.com/leverage-pre-trained-layers-in-image-classification/	NULL	NULL	Not Available	NULL		2019
13522	Pytorch-Transformers — pytorch-transformers 1.0.0 documentation	https://huggingface.co/pytorch-transformers/	NULL	NULL	Not Available	NULL		2019
13523	GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations.	https://github.com/benedekrozemberczki/awesome-graph-classification	NULL	NULL	Not Available	NULL		2019
13524	GitHub - huggingface/pytorch-transformers:	https://github.com/huggingface/pytorch-transformers	NULL	NULL	Not Available	NULL		2019
13525	GitHub - ConvLab/ConvLab	https://github.com/ConvLab/ConvLab	NULL	NULL	Not Available	NULL		2019
13526	GitHub - beringresearch/ivis: Dimensionality reduction in very large datasets using Siamese Networks	https://github.com/beringresearch/ivis	NULL	NULL	Not Available	NULL		2019
13527	GitHub - huggingface/hmtl:	https://github.com/huggingface/hmtl	NULL	NULL	Not Available	NULL		2019
13528	GitHub - huggingface/xlnet: XLNet: Generalized Autoregressive Pretraining for Language Understanding	https://github.com/huggingface/xlnet	NULL	NULL	Not Available	NULL		2019
13529	GitHub - huggingface/bert-syntax: Assessing syntactic abilities of BERT	https://github.com/huggingface/bert-syntax	NULL	NULL	Not Available	NULL		2019
13531	LASER/tasks/WikiMatrix at master · facebookresearch/LASER · GitHub	https://github.com/facebookresearch/LASER/tree/master/tasks/WikiMatrix	NULL	NULL	Not Available	NULL		2019
13532	GitHub - ayooshkathuria/YOLO_v3_tutorial_from_scratch: Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"	https://github.com/ayooshkathuria/YOLO_v3_tutorial_from_scratch	NULL	NULL	Not Available	NULL		2019
13533	Tutorial on implementing YOLO v3 from scratch in PyTorch	https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch	NULL	NULL	Not Available	NULL		2019
13534	How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 2	https://blog.paperspace.com/how-to-implement-a-yolo-v3-object-detector-from-scratch-in-pytorch-part-2/	NULL	NULL	Not Available	NULL		2019
13535	How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 3	https://blog.paperspace.com/how-to-implement-a-yolo-v3-object-detector-from-scratch-in-pytorch-part-3/	NULL	NULL	Not Available	NULL		2019
13536	How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 4	https://blog.paperspace.com/how-to-implement-a-yolo-v3-object-detector-from-scratch-in-pytorch-part-4/	NULL	NULL	Not Available	NULL		2019
13537	How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 5	https://blog.paperspace.com/how-to-implement-a-yolo-v3-object-detector-from-scratch-in-pytorch-part-5/	NULL	NULL	Not Available	NULL		2019
13540	Pre-processing for deep learning: from covariance matrix to image whitening	https://hadrienj.github.io/posts/Preprocessing-for-deep-learning/	NULL	NULL	Not Available	NULL		2019
13542	Exploring Neural Networks with fashion MNIST - Irene Pylypenko - Medium	https://medium.com/@ipylypenko/exploring-neural-networks-with-fashion-mnist-b0a8214b7b7b	NULL	NULL	Not Available	NULL		2019
13543	A Beginner’s Guide To Scikit-Learn’s MLPClassifier	https://www.analyticsindiamag.com/a-beginners-guide-to-scikit-learns-mlpclassifier/	NULL	NULL	Not Available	NULL		2019
13544	Olympus	http://wiki.speech.cs.cmu.edu/olympus/index.php/Olympus	NULL	NULL	Not Available	NULL		2019
13546	GitHub - ChunML/seq2seq	https://github.com/ChunML/seq2seq	NULL	NULL	Not Available	NULL		2019
13547	GitHub - ChunML/NLP: This is where I put all my work in Natural Language Processing	https://github.com/ChunML/NLP	NULL	NULL	Not Available	NULL		2019
13548	GitHub - ChunML/text-generator: Having fun with LSTMs by creating a simple text generator.	https://github.com/ChunML/text-generator	NULL	NULL	Not Available	NULL		2019
13549	GitHub - hadrienj/deepLearningBook-Notes: Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)	https://github.com/hadrienj/deepLearningBook-Notes	NULL	NULL	Not Available	NULL		2019
13550	403 Forbidden	https://machinelearningmastery.com/how-to-code-the-generative-adversarial-network-training-algorithm-and-loss-functions	NULL	NULL	Not Available	NULL		2019
13551	Introduction to Scalars Vectors Matrices and Tensors using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.1-Scalars-Vectors-Matrices-and-Tensors/	NULL	NULL	Not Available	NULL		2019
13552	Introduction to Multiplying Matrices and Vectors using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.2-Multiplying-Matrices-and-Vectors/	NULL	NULL	Not Available	NULL		2019
13553	Introduction to Identity and Inverse Matrices using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.3-Identity-and-Inverse-Matrices/	NULL	NULL	Not Available	NULL		2019
13554	Introudction to Linear Dependence and Span using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.4-Linear-Dependence-and-Span/	NULL	NULL	Not Available	NULL		2019
13555	Introduction to Norms using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.5-Norms/	NULL	NULL	Not Available	NULL		2019
13556	 Introduction to diagonal and symmetric matrices, unit and orthogonal vectors using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.6-Special-Kinds-of-Matrices-and-Vectors/	NULL	NULL	Not Available	NULL		2019
13557	Introduction to Eigendecomposition using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.7-Eigendecomposition/	NULL	NULL	Not Available	NULL		2019
13558	Introduction to Singular Value Decomposition using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.8-Singular-Value-Decomposition/	NULL	NULL	Not Available	NULL		2019
13559	Introduction to The Moore Penrose Pseudoinverse using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.9-The-Moore-Penrose-Pseudoinverse/	NULL	NULL	Not Available	NULL		2019
13560	Introduction to The Trace Operator using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.10-The-Trace-Operator/	NULL	NULL	Not Available	NULL		2019
13561	Introduction to The determinant using Python/Numpy example and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.11-The-determinant/	NULL	NULL	Not Available	NULL		2019
13562	Introduction to Principal Components Analysis (PCA) using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Deep-Learning-Book-Series-2.12-Example-Principal-Components-Analysis/	NULL	NULL	Not Available	NULL		2019
13563	Introduction to Probability Mass and Density Functions using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Probability-Mass-and-Density-Functions/	NULL	NULL	Not Available	NULL		2019
13564	Introduction to Marginal and Conditional Probability using Python/Numpy examples and drawings	https://hadrienj.github.io/posts/Marginal-and-Conditional-Probability/	NULL	NULL	Not Available	NULL		2019
13566	Machine Learning Tutorial for Beginners | Kaggle	https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners/notebook	NULL	NULL	Not Available	NULL		2019
13567	Linguistic Features · spaCy Usage Documentation	https://spacy.io/usage/linguistic-features	NULL	NULL	Not Available	NULL		2019
13568	NeuroEvolution, NEAT Algorithm and My NEAT - Data Driven Investor - Medium	https://medium.com/datadriveninvestor/neuroevolution-neat-algorithm-and-my-neat-b83c5174d8b0	NULL	NULL	Not Available	NULL		2019
13569	PyTorch Transformers for state-of-the-art NLP - dair.ai - Medium	https://medium.com/dair-ai/pytorch-transformers-for-state-of-the-art-nlp-3348911ffa5b	NULL	NULL	Not Available	NULL		2019
13570	Convolutional Neural Network (CNN) Tutorial In Python Using TensorFlow | Edureka	https://www.edureka.co/blog/convolutional-neural-network/	NULL	NULL	Not Available	NULL		2019
13571	TensorFlow Tutorial | Deep Learning Using TensorFlow | Edureka	https://www.edureka.co/blog/tensorflow-tutorial/	NULL	NULL	Not Available	NULL		2019
13572	A Step By Step Guide to Install TensorFlow - Edureka	https://www.edureka.co/blog/install-tensorflow	NULL	NULL	Not Available	NULL		2019
13573	Capsule Networks | Set of Nested Neural Layers | Edureka	https://www.edureka.co/blog/capsule-networks/	NULL	NULL	Not Available	NULL		2019
13574	Object Detection Tutorial using TensorFlow | Real-Time Object Detection | Edureka	https://www.edureka.co/blog/tensorflow-object-detection-tutorial/	NULL	NULL	Not Available	NULL		2019
13575	TensorFlow Image Classification | Build Your Own Classifier | Edureka	https://www.edureka.co/blog/tensorflow-image-classification	NULL	NULL	Not Available	NULL		2019
13576	Recurrent Neural Networks (RNN) Tutorial Using TensorFlow In Python - Edureka	https://www.edureka.co/blog/recurrent-neural-networks/	NULL	NULL	Not Available	NULL		2019
13577	Visualizing The Non-linearity of Neural Networks - Towards Data Science	https://towardsdatascience.com/visualizing-the-non-linearity-of-neural-networks-c55b2a14ad7a	NULL	NULL	Not Available	NULL		2019
13578	Keras Tutorial : Fine-tuning pre-trained models | Learn OpenCV	https://www.learnopencv.com/keras-tutorial-fine-tuning-using-pre-trained-models/	NULL	NULL	Not Available	NULL		2019
13579	Keras Tutorial : Transfer Learning using pre-trained models | Learn OpenCV	https://www.learnopencv.com/keras-tutorial-transfer-learning-using-pre-trained-models/	NULL	NULL	Not Available	NULL		2019
13580	Keras Tutorial : Using pre-trained ImageNet models | Learn OpenCV	https://www.learnopencv.com/keras-tutorial-using-pre-trained-imagenet-models/	NULL	NULL	Not Available	NULL		2019
13582	Image Classification using CNNs in Keras | Learn OpenCV	https://www.learnopencv.com/image-classification-using-convolutional-neural-networks-in-keras/	NULL	NULL	Not Available	NULL		2019
13585	Neural Networks : A 30,000 Feet View for Beginners | Learn OpenCV	https://www.learnopencv.com/neural-networks-a-30000-feet-view-for-beginners/	NULL	NULL	Not Available	NULL		2019
13586	Install Tensorflow, Keras, Pytorch on UBUNTU | Learn OpenCV	https://www.learnopencv.com/installing-deep-learning-frameworks-on-ubuntu-with-cuda-support/	NULL	NULL	Not Available	NULL		2019
13587	Stacked Capsule Autoencoders	http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html	NULL	NULL	Not Available	NULL		2019
13588	Attn: Illustrated Attention - Towards Data Science	https://towardsdatascience.com/attn-illustrated-attention-5ec4ad276ee3#0458	NULL	NULL	Not Available	NULL		2019
13589	Backpropagation Derivation - Multi-layer Neural Networks - A Shallow Blog about Deep Learning	https://blog.yani.io/backpropagation/	NULL	NULL	Not Available	NULL		2019
13590	Google AI Blog: Multilingual Universal Sentence Encoder for Semantic Retrieval	https://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html	NULL	NULL	Not Available	NULL		2019
13591	10 Powerful Applications of Linear Algebra in Data Science	https://www.analyticsvidhya.com/blog/2019/07/10-applications-linear-algebra-data-science/	NULL	NULL	Not Available	NULL		2019
13592	Implement Gradient Descent in Python - Towards Data Science	https://towardsdatascience.com/implement-gradient-descent-in-python-9b93ed7108d1	NULL	NULL	Not Available	NULL		2019
13593	Python for data science : Part 1 - Towards Data Science	https://towardsdatascience.com/python-for-data-science-part-1-759524eb493b	NULL	NULL	Not Available	NULL		2019
13594	Python for data science : Part 2 - Towards Data Science	https://towardsdatascience.com/python-for-data-science-part-2-373d6473fa40	NULL	NULL	Not Available	NULL		2019
13595	Python for data science : Part 3 - Towards Data Science	https://towardsdatascience.com/python-for-data-science-part-3-be9b08660af9	NULL	NULL	Not Available	NULL		2019
13596	Python for data science : Part 4 - Towards Data Science	https://towardsdatascience.com/python-for-data-science-part-4-6087cb811a29	NULL	NULL	Not Available	NULL		2019
13597	Neural network on iris data - Towards Data Science	https://towardsdatascience.com/neural-network-on-iris-data-4e99601a42c8	NULL	NULL	Not Available	NULL		2019
13598	GitHub - benedekrozemberczki/LabelPropagation: A simple implementation of Label Propagation.	https://github.com/benedekrozemberczki/LabelPropagation	NULL	NULL	Not Available	NULL		2019
13599	Python Libraries for Interpretable Machine Learning	https://towardsdatascience.com/python-libraries-for-interpretable-machine-learning-c476a08ed2c7	NULL	NULL	Not Available	NULL		2019
13601	Laplacian Centrality in NetworkX (Python) | Andrew Wheeler	https://andrewpwheeler.wordpress.com/2015/07/29/laplacian-centrality-in-networkx-python/	NULL	NULL	Not Available	NULL		2019
13602	The Evolved Transformer - Enhancing Transformer with Neural Architecture Search	https://towardsdatascience.com/the-evolved-transformer-enhancing-transformer-with-neural-architecture-search-f0073a915aca	NULL	NULL	Not Available	NULL		2019
13603	The Fundamentals of Transfer learning - Anish Singh Walia - Medium	https://medium.com/@anishsingh20/the-fundamentals-of-transfer-learning-2e9dcf2940ed	NULL	NULL	Not Available	NULL		2019
13604	The house always wins : Monte Carlo Simulation - Towards Data Science	https://towardsdatascience.com/the-house-always-wins-monte-carlo-simulation-eb82787da2a3	NULL	NULL	Not Available	NULL		2019
13605	The Markov Mouse - Towards Data Science	https://towardsdatascience.com/in-5-mins-the-markov-mouse-a4f7a38289fb	NULL	NULL	Not Available	NULL		2019
13606	Baidu’s ERNIE 2.0 Beats BERT and XLNet on NLP Benchmarks	https://medium.com/syncedreview/baidus-ernie-2-0-beats-bert-and-xlnet-on-nlp-benchmarks-51a8c21aa433	NULL	NULL	Not Available	NULL		2019
13607	GitHub - hiredscorelabs/tamnun-ml: An easy to use open-source library for advanced Deep Learning and Natural Language Processing	https://github.com/hiredscorelabs/tamnun-ml	NULL	NULL	Not Available	NULL		2019
13608	Gradient Descent in Python - Towards Data Science	https://towardsdatascience.com/gradient-descent-in-python-a0d07285742f	NULL	NULL	Not Available	NULL		2019
13609	Some more Social Network Analysis with Python: Centrality, PageRank/HITS, Random Network Generation Models, Link Prediction | sandipanweb	https://sandipanweb.wordpress.com/2017/09/22/some-more-social-network-analysis-with-python/	NULL	NULL	Not Available	NULL		2019
13610	A math-first explanation of Word2Vec - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/maths-behind-word2vec-explained-38d74f32726b	NULL	NULL	Not Available	NULL		2019
13612	Generative Adversarial Networks — Learning to Create	https://towardsdatascience.com/generative-adversarial-networks-learning-to-create-8b15709587c9	NULL	NULL	Not Available	NULL		2019
13613	Introducing TamnunML - HiredScore Engineering - Medium	https://medium.com/hiredscore-engineering/introducing-octoml-73bd527491b1	NULL	NULL	Not Available	NULL		2019
13614	OpenAI's GPT-2: Build World's Most Advanced Text Generator in Python	https://www.analyticsvidhya.com/blog/2019/07/openai-gpt2-text-generator-python/	NULL	NULL	Not Available	NULL		2019
13615	Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch	https://medium.com/towards-artificial-intelligence/nothing-but-numpy-understanding-creating-neural-networks-with-computational-graphs-from-scratch-6299901091b0	NULL	NULL	Not Available	NULL		2019
13616	A Comprehensive Guide to Build your own Language Model in Python	https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-language-model-nlp-python-code	NULL	NULL	Not Available	NULL		2019
13617	Build a Recommendation System Using word2vec in Python	https://www.analyticsvidhya.com/blog/2019/07/how-to-build-recommendation-system-word2vec-python	NULL	NULL	Not Available	NULL		2019
13618	Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science	https://www.analyticsvidhya.com/blog/2019/08/5-applications-singular-value-decomposition-svd-data-science	NULL	NULL	Not Available	NULL		2019
13619	PyTorch Basics: Understanding Autograd and Computation Graphs	https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation/	NULL	NULL	Not Available	NULL		2019
13620	Building a CIFAR classifier neural network with PyTorch	https://blog.paperspace.com/pytorch-101-building-neural-networks/	NULL	NULL	Not Available	NULL		2019
13621	Debugging and Visualisation in PyTorch using Hooks	https://blog.paperspace.com/pytorch-hooks-gradient-clipping-debugging/	NULL	NULL	Not Available	NULL		2019
13622	Memory Management, Optimisation and Debugging with PyTorch	https://blog.paperspace.com/pytorch-memory-multi-gpu-debugging/	NULL	NULL	Not Available	NULL		2019
13623	Going deep with PyTorch: Advanced Functionality	https://blog.paperspace.com/pytorch-101-advanced/	NULL	NULL	Not Available	NULL		2019
13625	Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want | Stitch Fix Technology a??? Multithreaded	https://multithreaded.stitchfix.com/blog/2019/07/15/give-me-jeans/	NULL	NULL	Not Available	NULL		2019
13627	Introduction to PyTorch-Transformers with Python Implementation	https://www.analyticsvidhya.com/blog/2019/07/pytorch-transformers-nlp-python/	NULL	NULL	Not Available	NULL		2019
13628	Finding similar sentences using Wikipedia and Tensorflow Hub.	https://medium.com/@vineet.mundhra/finding-similar-sentences-using-wikipedia-and-tensorflow-hub-dee2f52ed587	NULL	NULL	Not Available	NULL		2019
13629	Machine Learning — Hidden Markov Model (HMM) - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/machine-learning-hidden-markov-model-hmm-31660d217a61	NULL	NULL	Not Available	NULL		2019
13630	A Lagrange Multipliers Refresher, For Idiots Like Me	https://www.alexirpan.com/2019/07/27/lagrange-multipliers.html	NULL	NULL	Not Available	NULL		2019
13631		https://medium.com/huggingface/from-tensorflow-to-pytorch-265f40ef2a28	NULL	NULL	Not Available	NULL		2019
13632	Understanding Dropout with the Simplified Math behind it	https://towardsdatascience.com/simplified-math-behind-dropout-in-deep-learning-6d50f3f47275	NULL	NULL	Not Available	NULL		2019
13633	11 Important Model Evaluation Error Metrics Everyone should know	https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/	NULL	NULL	Not Available	NULL		2019
13634	Building a Recommendation System using Word2vec - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/building-a-recommendation-system-using-word2vec-a-unique-tutorial-with-case-study-in-python-f02357fd2486	NULL	NULL	Not Available	NULL		2019
13635	A Comprehensive Guide to Build your own Language Model in Python	https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-language-model-nlp-python-code/	NULL	NULL	Not Available	NULL		2019
13636	Deep Learning for NLP: ANNs, RNNs and LSTMs explained!	https://towardsdatascience.com/deep-learning-for-nlp-anns-rnns-and-lstms-explained-95866c1db2e4	NULL	NULL	Not Available	NULL		2019
13637	spaCy meets PyTorch-Transformers: Fine-tune BERT, XLNet and GPT-2 · Blog · Explosion	https://explosion.ai/blog/spacy-pytorch-transformers	NULL	NULL	Not Available	NULL		2019
13638	Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree	https://www.kdnuggets.com/2019/08/pytorch-cheat-sheet-beginners.html	NULL	NULL	Not Available	NULL		2019
13639	Contextual Emotion Detection in Textual Conversations Using Neural Networks	https://towardsdatascience.com/contextual-emotion-detection-in-textual-conversations-using-neural-networks-381e3d8490c4	NULL	NULL	Not Available	NULL		2019
13640	Illustrated: 10 CNN Architectures - Towards Data Science	https://towardsdatascience.com/illustrated-10-cnn-architectures-95d78ace614d	NULL	NULL	Not Available	NULL		2019
13641	Optimization Algorithms for Deep Learning - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/optimization-algorithms-for-deep-learning-1f1a2bd4c46b	NULL	NULL	Not Available	NULL		2019
13642	GitHub - bknyaz/graph_nn: Graph classification with Graph Convolutional Networks in PyTorch	https://github.com/bknyaz/graph_nn	NULL	NULL	Not Available	NULL		2019
13643	Going Deep From Scratch. - Jeraldy Deus - Medium	https://medium.com/@jeraldydeus/going-deep-from-scratch-3809f5890c5e	NULL	NULL	Not Available	NULL		2019
13645	Knowing Your Neighbours: Machine Learning on Graphs	https://medium.com/stellargraph/knowing-your-neighbours-machine-learning-on-graphs-9b7c3d0d5896	NULL	NULL	Not Available	NULL		2019
13646	GitHub - stellargraph/stellargraph: StellarGraph - Machine Learning on Graphs	https://github.com/stellargraph/stellargraph	NULL	NULL	Not Available	NULL		2019
13647	tutorials/README.md at master · mlss-2019/tutorials · GitHub	https://github.com/mlss-2019/tutorials/blob/master/README.md	NULL	NULL	Not Available	NULL		2019
13648	Representing text in natural language processing - Towards Data Science	https://towardsdatascience.com/representing-text-in-natural-language-processing-1eead30e57d8	NULL	NULL	Not Available	NULL		2019
13650	Chapter 2: Large-scale data analysis with spaCy · Advanced NLP with spaCy	https://course.spacy.io/chapter2	NULL	NULL	Not Available	NULL		2019
13651	Chapter 3: Processing Pipelines · Advanced NLP with spaCy	https://course.spacy.io/chapter3	NULL	NULL	Not Available	NULL		2019
13652	Chapter 4: Training a neural network model · Advanced NLP with spaCy	https://course.spacy.io/chapter4	NULL	NULL	Not Available	NULL		2019
13653	Useful String Methods in Python - Towards Data Science	https://towardsdatascience.com/useful-string-methods-in-python-5047ea4d3f90	NULL	NULL	Not Available	NULL		2019
13654	Everything You Should Know about Python on Windows, Linux and Mac	https://www.analyticsvidhya.com/blog/2019/08/everything-know-about-setting-up-python-windows-linux-and-mac	NULL	NULL	Not Available	NULL		2019
13655	What is Poisson Distribution?	https://www.kdnuggets.com/2019/08/poisson-distribution.html	NULL	NULL	Not Available	NULL		2019
13656	Knowing Your Neighbours: Machine Learning on Graphs	https://www.kdnuggets.com/2019/08/neighbours-machine-learning-graphs.html	NULL	NULL	Not Available	NULL		2019
13657	  Deep Learning for NLP: ANNs, RNNs and LSTMs explained!	https://www.kdnuggets.com/2019/08/deep-learning-nlp-explained.html	NULL	NULL	Not Available	NULL		2019
13658	The Confusion Matrix for Classification - Towards AI - Medium	https://medium.com/towards-artificial-intelligence/the-confusion-matrix-for-classification-eb3bcf3064c7	NULL	NULL	Not Available	NULL		2019
13659	tNodeEmbed — Node Embedding over Temporal Graphs - Uriel Singer - Medium	https://medium.com/@urielsinger/tnodeembed-node-embedding-over-temporal-graphs-b7bcbf59938f	NULL	NULL	Not Available	NULL		2019
13660	NAACL ’19 Notes: Practical Insights for Natural Language Processing Applications — Part I	https://medium.com/orb-engineering/naacl-19-notes-practical-insights-for-natural-language-processing-applications-part-i-5f981c92af80	NULL	NULL	Not Available	NULL		2019
13661	NAACL ’19 Notes: Practical Insights for Natural Language Processing Applications — Part II	https://medium.com/orb-engineering/naacl-19-notes-practical-insights-for-natural-language-processing-applications-part-ii-2a2a3dd42d1	NULL	NULL	Not Available	NULL		2019
13662	Transformers from scratch | Peter Bloem	http://www.peterbloem.nl/blog/transformers	NULL	NULL	Not Available	NULL		2019
13663	GitHub - pbloem/former: Simple transformer implementation from scratch in pytorch.	https://github.com/pbloem/former	NULL	NULL	Not Available	NULL		2019
13664	GitHub - davidADSP/GDL_code: The official code repository for examples in the O'Reilly book 'Generative Deep Learning'	https://github.com/davidADSP/GDL_code	NULL	NULL	Not Available	NULL		2019
13665	GitHub - hanxiao/bert-as-service: Mapping a variable-length sentence to a fixed-length vector using BERT model	https://github.com/hanxiao/bert-as-service	NULL	NULL	Not Available	NULL		2019
13666	How do they apply BERT in the clinical domain? - Towards Data Science	https://towardsdatascience.com/how-do-they-apply-bert-in-the-clinical-domain-49113a51be50	NULL	NULL	Not Available	NULL		2019
13667	How BERT leverage attention mechanism and transformer to learn word contextual relations	https://towardsdatascience.com/how-bert-leverage-attention-mechanism-and-transformer-to-learn-word-contextual-relations-5bbee1b6dbdb	NULL	NULL	Not Available	NULL		2019
13668	Address Limitation of RNN in NLP Problems by Using Transformer-XL	https://medium.com/towards-artificial-intelligence/address-limitation-of-rnn-in-nlp-problems-by-using-transformer-xl-866d7ce1c8f4	NULL	NULL	Not Available	NULL		2019
13669	Cross-lingual Language Model - Towards AI - Medium	https://medium.com/towards-artificial-intelligence/cross-lingual-language-model-56a65dba9358	NULL	NULL	Not Available	NULL		2019
13670	Unified Language Model Pre-training for Natural Language Understanding and Generation	https://medium.com/towards-artificial-intelligence/unified-language-model-pre-training-for-natural-language-understanding-and-generation-f87dc226aa2	NULL	NULL	Not Available	NULL		2019
13671	Multi-Task Learning for Sentence Embeddings - Edward Ma - Medium	https://medium.com/@makcedward/multi-task-learning-for-sentence-embeddings-55f47be1610a	NULL	NULL	Not Available	NULL		2019
13672	3 subword algorithms help to improve your NLP model performance	https://medium.com/@makcedward/how-subword-helps-on-your-nlp-model-83dd1b836f46	NULL	NULL	Not Available	NULL		2019
13673	How Negative Sampling work on word2vec? - Edward Ma - Medium	https://medium.com/@makcedward/how-negative-sampling-work-on-word2vec-7bf8d545b116	NULL	NULL	Not Available	NULL		2019
13674	Data Augmentation in NLP - Towards Data Science	https://towardsdatascience.com/data-augmentation-in-nlp-2801a34dfc28	NULL	NULL	Not Available	NULL		2019
13675	Multi-Task Learning in Language Model for Text Classification	https://towardsdatascience.com/multi-task-learning-in-language-model-for-text-classification-c3acc1fedd89	NULL	NULL	Not Available	NULL		2019
13676	Word Distance between Word Embeddings with Weight - Towards Data Science	https://towardsdatascience.com/word-distance-between-word-embeddings-with-weight-bf02869c50e1	NULL	NULL	Not Available	NULL		2019
13678	Too powerful NLP model (GPT-2) - Towards Data Science	https://towardsdatascience.com/too-powerful-nlp-model-generative-pre-training-2-4cc6afb6655	NULL	NULL	Not Available	NULL		2019
13679	Learning general sentence representation by various NLP tasks	https://towardsdatascience.com/learning-generic-sentence-representation-by-various-nlp-tasks-df39ce4e81d7	NULL	NULL	Not Available	NULL		2019
13680	Embeddings-free Deep Learning NLP model - Towards Data Science	https://towardsdatascience.com/embeddings-free-deep-learning-nlp-model-ce067c7a7c93	NULL	NULL	Not Available	NULL		2019
13681	Text Matching with Deep Learning - Towards Data Science	https://towardsdatascience.com/text-matching-with-deep-learning-e6aa05333399	NULL	NULL	Not Available	NULL		2019
13682	Combining supervised learning and unsupervised learning to improve word vectors	https://towardsdatascience.com/combining-supervised-learning-and-unsupervised-learning-to-improve-word-vectors-d4dea84ec36b	NULL	NULL	Not Available	NULL		2019
13683	How fuzzy matching improve your NLP model - Towards Data Science	https://towardsdatascience.com/how-fuzzy-matching-improve-your-nlp-model-bc617385ad6b	NULL	NULL	Not Available	NULL		2019
13684	Building sentence embeddings via quick thoughts - Towards Data Science	https://towardsdatascience.com/building-sentence-embeddings-via-quick-thoughts-945484cae273	NULL	NULL	Not Available	NULL		2019
13685	Fix your text thought attention before NLP tasks - Towards Data Science	https://towardsdatascience.com/fix-your-text-thought-attention-before-nlp-tasks-7dc074b9744f	NULL	NULL	Not Available	NULL		2019
13686	Essential text correction process for NLP tasks - Towards Data Science	https://towardsdatascience.com/essential-text-correction-process-for-nlp-tasks-f731a025fcc3	NULL	NULL	Not Available	NULL		2019
13687	Correcting text input by machine translation and classification	https://towardsdatascience.com/correcting-text-input-by-machine-translation-and-classification-fa9d82087de1	NULL	NULL	Not Available	NULL		2019
13688	Understand how to transfer your paragraph to vector by doc2vec	https://towardsdatascience.com/understand-how-to-transfer-your-paragraph-to-vector-by-doc2vec-1e225ccf102	NULL	NULL	Not Available	NULL		2019
13689	ELMo helps to further improve your sentence embeddings	https://towardsdatascience.com/elmo-helps-to-further-improve-your-word-embeddings-c6ed2c9df95f	NULL	NULL	Not Available	NULL		2019
13690	Replacing your Word Embeddings by Contextualized Word Vectors	https://towardsdatascience.com/replacing-your-word-embeddings-by-contextualized-word-vectors-9508877ad65d	NULL	NULL	Not Available	NULL		2019
13691	Learning sentence embeddings by Natural Language Inference	https://towardsdatascience.com/learning-sentence-embeddings-by-natural-language-inference-a50b4661a0b8	NULL	NULL	Not Available	NULL		2019
13692	Transforming text to Sentence Embeddings via some thoughts	https://towardsdatascience.com/transforming-text-to-sentence-embeddings-layer-via-some-thoughts-b77bed60822c	NULL	NULL	Not Available	NULL		2019
13693	Combing LDA and Word Embeddings for topic modeling - Towards Data Science	https://towardsdatascience.com/combing-lda-and-word-embeddings-for-topic-modeling-fe4a1315a5b4	NULL	NULL	Not Available	NULL		2019
13694	Word Distance between Word Embeddings - Towards Data Science	https://towardsdatascience.com/word-distance-between-word-embeddings-cc3e9cf1d632	NULL	NULL	Not Available	NULL		2019
13695	Interpreting your deep learning model by SHAP - Towards Data Science	https://towardsdatascience.com/interpreting-your-deep-learning-model-by-shap-e69be2b47893	NULL	NULL	Not Available	NULL		2019
13696	Pattern-based recognition did help in NLP - Towards Data Science	https://towardsdatascience.com/pattern-based-recognition-did-help-in-nlp-5c54b4e7a962	NULL	NULL	Not Available	NULL		2019
13697	3 basic approaches in Bag of Words which are better than Word Embeddings	https://towardsdatascience.com/3-basic-approaches-in-bag-of-words-which-are-better-than-word-embeddings-c2cbc7398016	NULL	NULL	Not Available	NULL		2019
13698	3 silver bullets of word embeddings in NLP - Towards Data Science	https://towardsdatascience.com/3-silver-bullets-of-word-embedding-in-nlp-10fa8f50cc5a	NULL	NULL	Not Available	NULL		2019
13699	NLP Pipeline: Sentence Tokenization (Part 6) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-sentence-tokenization-part-6-86ed55b185e6	NULL	NULL	Not Available	NULL		2019
13700	NLP Pipeline: Stop words (Part 5) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-stop-words-part-5-d6770df8a936	NULL	NULL	Not Available	NULL		2019
13701	NLP Pipeline: Stemming (Part 4) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-stemming-part-4-b60a319fd52	NULL	NULL	Not Available	NULL		2019
13702	NLP Pipeline: Lemmatization (Part 3) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-lemmatization-part-3-4bfd7304957	NULL	NULL	Not Available	NULL		2019
13703	NLP Pipeline: Part of Speech (Part 2) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-part-of-speech-part-2-b683c90e327d	NULL	NULL	Not Available	NULL		2019
13704	NLP Pipeline: Word Tokenization (Part 1) - Edward Ma - Medium	https://medium.com/@makcedward/nlp-pipeline-word-tokenization-part-1-4b2b547e6a3	NULL	NULL	Not Available	NULL		2019
13705	How does Named Entity Recognition help on Information Extraction in NLP?	https://towardsdatascience.com/named-entity-recognition-3fad3f53c91e	NULL	NULL	Not Available	NULL		2019
13706	3 basic Distance Measurement in Text Mining - Towards Data Science	https://towardsdatascience.com/3-basic-distance-measurement-in-text-mining-5852becff1d7	NULL	NULL	Not Available	NULL		2019
13707	Besides Word Embedding, why you need to know Character Embedding?	https://towardsdatascience.com/besides-word-embedding-why-you-need-to-know-character-embedding-6096a34a3b10	NULL	NULL	Not Available	NULL		2019
13708	Summarize whole paragraph to one sentence by Extractive Approach	https://towardsdatascience.com/text-summarization-extractive-approach-567fe4b85c23	NULL	NULL	Not Available	NULL		2019
13709	Data Augmentation library for text - Towards Data Science	https://towardsdatascience.com/data-augmentation-library-for-text-9661736b13ff	NULL	NULL	Not Available	NULL		2019
13710	BERT Explained: State of the art language model for NLP	https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270	NULL	NULL	Not Available	NULL		2019
13711	BERT Explained – A list of Frequently Asked Questions – Let the Machines Learn	https://yashuseth.blog/2019/06/12/bert-explained-faqs-understand-bert-working/	NULL	NULL	Not Available	NULL		2019
13712	How can Unsupervised Neural Machine Translation Work? – Let the Machines Learn	https://yashuseth.blog/2019/03/03/how-can-unsupervised-neural-machine-translation-work/	NULL	NULL	Not Available	NULL		2019
13713	A Neural Network in PyTorch for Tabular Data with Categorical Embeddings – Let the Machines Learn	https://yashuseth.blog/2018/07/22/pytorch-neural-network-for-tabular-data-with-categorical-embeddings/	NULL	NULL	Not Available	NULL		2019
13715	XLM — Enhancing BERT for Cross-lingual Language Model	https://towardsdatascience.com/xlm-enhancing-bert-for-cross-lingual-language-model-5aeed9e6f14b	NULL	NULL	Not Available	NULL		2019
13718	The Evolved Transformer – Enhancing Transformer with Neural Architecture Search | Lyrn.AI	https://www.lyrn.ai/2019/03/12/the-evolved-transformer/	NULL	NULL	Not Available	NULL		2019
13719	XLM – Enhancing BERT for Cross-lingual Language Model | Lyrn.AI	https://www.lyrn.ai/2019/02/11/xlm-cross-lingual-language-model/	NULL	NULL	Not Available	NULL		2019
13720	Transformer-XL – Combining Transformers and RNNs Into a State-of-the-art Language Model | Lyrn.AI	https://www.lyrn.ai/2019/01/16/transformer-xl-sota-language-model/	NULL	NULL	Not Available	NULL		2019
13721	The Inner Workings of word2vec · Chris McCormick	https://mccormickml.com/2019/03/12/the-inner-workings-of-word2vec/	NULL	NULL	Not Available	NULL		2019
13722	Applying word2vec to Recommenders and Advertising · Chris McCormick	https://mccormickml.com/2018/06/15/applying-word2vec-to-recommenders-and-advertising/	NULL	NULL	Not Available	NULL		2019
13723	BERT Fine-Tuning Tutorial with PyTorch · Chris McCormick	https://mccormickml.com/2019/07/22/BERT-fine-tuning/	NULL	NULL	Not Available	NULL		2019
13724	BERT Word Embeddings Tutorial · Chris McCormick	https://mccormickml.com/2019/05/14/BERT-word-embeddings-tutorial/	NULL	NULL	Not Available	NULL		2019
13725	An Understandable Language Processing - SingularityNET	https://blog.singularitynet.io/an-understandable-language-processing-3848f7560271	NULL	NULL	Not Available	NULL		2019
13726	The State of Transfer Learning in NLP	http://ruder.io/state-of-transfer-learning-in-nlp/	NULL	NULL	Not Available	NULL		2019
13727	GitHub - VKCOM/YouTokenToMe: Unsupervised text tokenizer focused on computational efficiency	https://github.com/vkcom/youtokentome	NULL	NULL	Not Available	NULL		2019
13728	GitHub - glample/fastBPE: Fast BPE	https://github.com/glample/fastBPE	NULL	NULL	Not Available	NULL		2019
13729	GitHub - urielsinger/tNodeEmbed: tNodeEmbed	https://github.com/urielsinger/tNodeEmbed	NULL	NULL	Not Available	NULL		2019
13730	Remove Stopwords using NLTK, spaCy and Gensim in Python	https://www.analyticsvidhya.com/blog/2019/08/how-to-remove-stopwords-text-normalization-nltk-spacy-gensim-python	NULL	NULL	Not Available	NULL		2019
13731	GitHub - ICLRandD/Blackstone: A spaCy pipeline and model for NLP on unstructured legal text.	https://github.com/ICLRandD/Blackstone	NULL	NULL	Not Available	NULL		2019
13732	GitHub - tensorflow/text: Making text a first-class citizen in TensorFlow.	https://github.com/tensorflow/text	NULL	NULL	Not Available	NULL		2019
13733	Haim Post | AI21 Labs	https://www.ai21.com/haim-post	NULL	NULL	Not Available	NULL		2019
13734	GitHub - fnl/syntok: Text tokenization and sentence segmentation (segtok v2)	https://github.com/fnl/syntok	NULL	NULL	Not Available	NULL		2019
13735	Seedbank	https://research.google.com/seedbank/seed/sparse_data_and_embeddings	NULL	NULL	Not Available	NULL		2019
13736	Seedbank	https://research.google.com/seedbank/seed/intro_to_neural_networks	NULL	NULL	Not Available	NULL		2019
13737	Seedbank	https://research.google.com/seedbank/seed/universal_sentence_encoder	NULL	NULL	Not Available	NULL		2019
13738	Seedbank	https://research.google.com/seedbank/seed/generate_shakespeare_using_tfkeras	NULL	NULL	Not Available	NULL		2019
13739	Seedbank	https://research.google.com/seedbank/seed/tensortensor_translate_from_english_to_german_with_a_pretrained_model	NULL	NULL	Not Available	NULL		2019
13740	Seedbank	https://research.google.com/seedbank/seed/pretrained_word_embeddings	NULL	NULL	Not Available	NULL		2019
13741	Seedbank	https://research.google.com/seedbank/seed/lab__training_your_first_tf_linear_regression_model	NULL	NULL	Not Available	NULL		2019
13742	Seedbank	https://research.google.com/seedbank/seed/logistic_regression	NULL	NULL	Not Available	NULL		2019
13743	Seedbank	https://research.google.com/seedbank/seed/working_with_tensors	NULL	NULL	Not Available	NULL		2019
13744	Seedbank	https://research.google.com/seedbank/seed/semantic_dictionaries	NULL	NULL	Not Available	NULL		2019
13745	Seedbank	https://research.google.com/seedbank/seed/lab__training_a_linear_classifier_with_numerical_and_categorical_features	NULL	NULL	Not Available	NULL		2019
13746	Seedbank	https://research.google.com/seedbank/seed/text_generation_using_a_rnn_with_eager_execution	NULL	NULL	Not Available	NULL		2019
13747	Seedbank	https://research.google.com/seedbank/seed/introduction_to_ml_fairness	NULL	NULL	Not Available	NULL		2019
13748	Seedbank	https://research.google.com/seedbank/seed/neural_translation_with_attention	NULL	NULL	Not Available	NULL		2019
13749	Facebook AI Releases XLM/mBERT PyTorch Models in 100 Languages!!!	https://medium.com/dair-ai/facebook-releases-xlm-mbert-pytorch-models-in-100-languages-518628c02a46	NULL	NULL	Not Available	NULL		2019
13750	OpenGPT-2: We Replicated GPT-2 Because You Can Too - Noteworthy - The Journal Blog	https://medium.com/@vanya_cohen/opengpt-2-we-replicated-gpt-2-because-you-can-too-45e34e6d36dc	NULL	NULL	Not Available	NULL		2019
13751	GitHub - chiphuyen/lazynlp: Library to scrape and clean web pages to create massive datasets.	https://github.com/chiphuyen/lazynlp	NULL	NULL	Not Available	NULL		2019
13752	GitHub - jgc128/mednli: MedNLI - A Natural Language Inference Dataset For The Clinical Domain	https://github.com/jgc128/mednli	NULL	NULL	Not Available	NULL		2019
13753	GitHub - ncbi-nlp/NCBI_BERT: NCBI BERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).	https://github.com/ncbi-nlp/NCBI_BERT	NULL	NULL	Not Available	NULL		2019
13754	An Intuitive (and Short) Explanation of Bayes’ Theorem – BetterExplained	https://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/	NULL	NULL	Not Available	NULL		2019
13755	Cheat Sheet: Acceleration from First Principles | One trivial observation at a time	http://www.pokutta.com/blog/research/2019/06/10/cheatsheet-acceleration-first-principles.html	NULL	NULL	Not Available	NULL		2019
13756	Another 'Variational Auto Encoders Explained' Post and Character Encoding · Branko Blagojevic	https://breeko.github.io/post/2018-10-25_another-variational-auto-encoders-explained-post-and-character-encoding/	NULL	NULL	Not Available	NULL		2019
13757	Machine learning for package users with R (1): Decision Tree - Data Scientist TJO in Tokyo	https://tjo-en.hatenablog.com/entry/2015/03/20/191614	NULL	NULL	Not Available	NULL		2019
13758	Deep-learning-free Text and Sentence Embedding, Part 1 – Off the convex path	http://www.offconvex.org/2018/06/17/textembeddings/	NULL	NULL	Not Available	NULL		2019
13759	Deep-learning-free Text and Sentence Embedding, Part 2 – Off the convex path	http://www.offconvex.org/2018/06/25/textembeddings/	NULL	NULL	Not Available	NULL		2019
13760	When Recurrent Models Don't Need to be Recurrent – Off the convex path	http://www.offconvex.org/2018/07/27/approximating-recurrent/	NULL	NULL	Not Available	NULL		2019
13761	Step-by-Step Guide to Build Interpretable Machine Learning Model -Python	https://www.analyticsvidhya.com/blog/2019/08/decoding-black-box-step-by-step-guide-interpretable-machine-learning-models-python	NULL	NULL	Not Available	NULL		2019
13762	Document Similarity in Machine Learning Text Analysis with ELMo - Text Analytics Techniques	http://ai.intelligentonlinetools.com/ml/document-similarity-in-machine-learning-text-analysis-with-elmo/	NULL	NULL	Not Available	NULL		2019
13763	Word Embeddings in Python with Spacy and Gensim | Shane Lynn	https://www.shanelynn.ie/word-embeddings-in-python-with-spacy-and-gensim/	NULL	NULL	Not Available	NULL		2019
13764	Get Busy with Word Embeddings - An Introduction | Shane Lynn	https://www.shanelynn.ie/get-busy-with-word-embeddings-introduction/	NULL	NULL	Not Available	NULL		2019
13766	Text Similarities : Estimate the degree of similarity between two texts	https://medium.com/@adriensieg/text-similarities-da019229c894	NULL	NULL	Not Available	NULL		2019
13767	TensorFlow Hub	https://tfhub.dev/google/universal-sentence-encoder/2	NULL	NULL	Not Available	NULL		2019
13768	11 Innovation Data Visualizations in Python, R and Tableau	https://www.analyticsvidhya.com/blog/2019/08/11-data-visualizations-python-r-tableau-d3js	NULL	NULL	Not Available	NULL		2019
13769	NLP Town Blog | Distilling Bert Models with spaCy	http://www.nlp.town/blog/distilling-bert/	NULL	NULL	Not Available	NULL		2019
13770	Speech Recognition — Phonetics - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/speech-recognition-phonetics-d761ea1710c0	NULL	NULL	Not Available	NULL		2019
13771	NLP Town Blog | Comparing Sentence Similarity Methods	http://www.nlp.town/blog/sentence-similarity/	NULL	NULL	Not Available	NULL		2019
13772	Understanding Decision Trees for Classification in Python	https://www.kdnuggets.com/2019/08/understanding-decision-trees-classification-python.html	NULL	NULL	Not Available	NULL		2019
13773	Machine Learning — Graphical Model - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/machine-learning-graphical-model-b68b0c27a749	NULL	NULL	Not Available	NULL		2019
13774	Machine Learning — Lagrange multiplier & Dual decomposition	https://medium.com/@jonathan_hui/machine-learning-lagrange-multiplier-dual-decomposition-4afe66158c9	NULL	NULL	Not Available	NULL		2019
13775	Machine Learning — Variational Inference - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/machine-learning-variational-inference-273d8e6480bb	NULL	NULL	Not Available	NULL		2019
13776	Machine Learning — Latent Dirichlet Allocation LDA - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/machine-learning-latent-dirichlet-allocation-lda-1d9d148f13a4	NULL	NULL	Not Available	NULL		2019
13777	Machine Learning — Learning Graphical Model - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/machine-learning-learning-graphical-model-87fb4f9889f9	NULL	NULL	Not Available	NULL		2019
13778	Machine Learning — Visualization, Dimension Reduction & Anomaly detection	https://medium.com/@jonathan_hui/machine-learning-visualization-dimension-reduction-anomaly-detection-e5762b9093fd	NULL	NULL	Not Available	NULL		2019
13779		https://medium.com/huggingface/distilbert-8cf3380435b5	NULL	NULL	Not Available	NULL		2019
13780	Word Embedding Tutorial: word2vec using Gensim [EXAMPLE]	https://www.guru99.com/word-embedding-word2vec.html	NULL	NULL	Not Available	NULL		2019
13781	   Write With Transformer 	https://transformer.huggingface.co/	NULL	NULL	Not Available	NULL		2019
13782	Machine Learning Basics with the K-Nearest Neighbors Algorithm	https://towardsdatascience.com/machine-learning-basics-with-the-k-nearest-neighbors-algorithm-6a6e71d01761	NULL	NULL	Not Available	NULL		2019
13783	Deep Learning Next Step: Transformers and Attention Mechanism	https://www.kdnuggets.com/2019/08/deep-learning-transformers-attention-mechanism.html	NULL	NULL	Not Available	NULL		2019
13785	Marian :: MT Marathon 2019	https://marian-nmt.github.io/examples/mtm2019	NULL	NULL	Not Available	NULL		2019
13786	Breaking BERT Down - Towards Data Science	https://towardsdatascience.com/breaking-bert-down-430461f60efb	NULL	NULL	Not Available	NULL		2019
13787	403 Forbidden	https://humansofdata.atlan.com/2019/07/what-is-graph-database-and-graph-tech/	NULL	NULL	Not Available	NULL		2019
13788	new fast.ai course: A Code-First Introduction to Natural Language Processing · fast.ai	https://www.fast.ai/2019/07/08/fastai-nlp/	NULL	NULL	Not Available	NULL		2019
13789	Deep Learning For Coders—36 hours of lessons for free	http://course18.fast.ai/ml	NULL	NULL	Not Available	NULL		2019
13790	Part 2: Deep Learning from the Foundations | fast.ai course v3	https://course.fast.ai/part2	NULL	NULL	Not Available	NULL		2019
13791	Certified Natural Language Processing (NLP) Course - Python	https://courses.analyticsvidhya.com/courses/natural-language-processing-nlp	NULL	NULL	Not Available	NULL		2019
13792	Deep Learning from the Foundations · fast.ai	https://www.fast.ai/2019/06/28/course-p2v3/	NULL	NULL	Not Available	NULL		2019
13793	Probability Distributions in Data Science - Towards Data Science	https://towardsdatascience.com/probability-distributions-in-data-science-cce6e64873a7	NULL	NULL	Not Available	NULL		2019
13794	Text Classification — RNN’s or CNN’s? - Towards Data Science	https://towardsdatascience.com/text-classification-rnns-or-cnn-s-98c86a0dd361	NULL	NULL	Not Available	NULL		2019
13795	From Word Embeddings to Pretrained Language Models — A New Age in NLP — Part 1	https://towardsdatascience.com/from-word-embeddings-to-pretrained-language-models-a-new-age-in-nlp-part-1-7ed0c7f3dfc5	NULL	NULL	Not Available	NULL		2019
13796	From Word Embeddings to Pretrained Language Models — A New Age in NLP — Part 2	https://towardsdatascience.com/from-word-embeddings-to-pretrained-language-models-a-new-age-in-nlp-part-2-e9af9a0bdcd9	NULL	NULL	Not Available	NULL		2019
13797	NLP Town Blog | Comparing Sentence Similarity Methods	http://nlp.town/blog/sentence-similarity/	NULL	NULL	Not Available	NULL		2019
13798	NLP Town Blog | Named Entity Recognition and the Road to Deep Learning	http://nlp.town/blog/ner-and-the-road-to-deep-learning/	NULL	NULL	Not Available	NULL		2019
13799	NLP Town Blog | Distilling Bert Models with spaCy	http://nlp.town/blog/distilling-bert/	NULL	NULL	Not Available	NULL		2019
13800	Practical Deep Learning for Coders, v3 | fast.ai course v3	https://course.fast.ai/	NULL	NULL	Not Available	NULL		2019
13801	Understanding Vector Representation of Words with Keras	https://medium.com/@pritom.blue2/understanding-vector-representation-of-words-with-keras-facf00142f8	NULL	NULL	Not Available	NULL		2019
13802	Activation Functions Explained - GELU, SELU, ELU, ReLU and more	https://mlfromscratch.com/activation-functions-explained	NULL	NULL	Not Available	NULL		2019
13803	Probability Learning IV : The Math Behind Bayes - Towards Data Science	https://towardsdatascience.com/probability-learning-iv-the-math-behind-bayes-bfb94ea03dd8	NULL	NULL	Not Available	NULL		2019
13804	Probability Learning III: Maximum Likelihood - Towards Data Science	https://towardsdatascience.com/probability-learning-iii-maximum-likelihood-e78d5ebea80c	NULL	NULL	Not Available	NULL		2019
13805	Probability Learning II: How Bayes’ Theorem is applied in Machine Learning	https://towardsdatascience.com/probability-learning-ii-how-bayes-theorem-is-applied-in-machine-learning-bd747a960962	NULL	NULL	Not Available	NULL		2019
13806	Probability Learning I : Bayes’ Theorem - Towards Data Science	https://towardsdatascience.com/probability-learning-i-bayes-theorem-708a4c02909a	NULL	NULL	Not Available	NULL		2019
13809	Neural Networks: Feedforward and Backpropagation Explained	https://mlfromscratch.com/neural-networks-explained/	NULL	NULL	Not Available	NULL		2019
13810	How to do Linear Regression and Logistic Regression in Machine Learning?	https://mlfromscratch.com/machine-learning-introduction-8-linear-regression-and-logistic-regression/	NULL	NULL	Not Available	NULL		2019
13818	Cheat Sheet for Linear Algebra	https://mlfromscratch.com/linear-algebra-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
13819	Linear Algebra Basics 4: Determinant, Cross Product and Dot Product	https://mlfromscratch.com/linear-algebra-basics-4-determinant/	NULL	NULL	Not Available	NULL		2019
13820	Linear Algebra Basics 3: Linear Transformations and Matrix Multiplication	https://mlfromscratch.com/linear-algebra-basics-3/	NULL	NULL	Not Available	NULL		2019
13821	Linear Algebra Basics 2: Basis Vectors, Span and Linear Combinations	https://mlfromscratch.com/linear-algebra-basics-2/	NULL	NULL	Not Available	NULL		2019
13822	Linear Algebra Vector Basics	https://mlfromscratch.com/linear-algebra-vector-basics/	NULL	NULL	Not Available	NULL		2019
13823		https://medium.com/huggingface/training-larger-batches-practical-tips-on-1-gpu-multi-gpu-distributed-setups-ec88c3e51255	NULL	NULL	Not Available	NULL		2019
13825		https://medium.com/huggingface/from-zero-to-research-an-introduction-to-meta-learning-8e16e677f78a	NULL	NULL	Not Available	NULL		2019
13829	An overview of topics extraction in Python with LDA	https://towardsdatascience.com/the-complete-guide-for-topics-extraction-in-python-a6aaa6cedbbc	NULL	NULL	Not Available	NULL		2019
13830	Reinforcement Learning — Basic Understanding - Analytics Vidhya - Medium	https://medium.com/@ioannisanif/reinforcement-learning-basic-understanding-4fcb91ba4e4	NULL	NULL	Not Available	NULL		2019
13831	GitHub - dragomirradev/practicalAI:	https://github.com/dragomirradev/practicalAI	NULL	NULL	Not Available	NULL		2019
13832	Gradient Descent for Machine Learning - Code Heroku - Medium	https://medium.com/code-heroku/gradient-descent-for-machine-learning-3d871fa48b4c	NULL	NULL	Not Available	NULL		2019
13833	Two Ways to Learn Audio Embeddings - Towards AI - Medium	https://medium.com/towards-artificial-intelligence/two-ways-to-learn-audio-embeddings-9dfcaab10ba6	NULL	NULL	Not Available	NULL		2019
13834	How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-1)	https://medium.com/@souravboss.bose/comprehensive-topic-modelling-with-nmf-lsa-plsa-lda-lda2vec-part-1-20002a8e03ae	NULL	NULL	Not Available	NULL		2019
13835	Introduction to Transformers Architecture	https://rubikscode.net/2019/07/29/introduction-to-transformers-architecture	NULL	NULL	Not Available	NULL		2019
13836	Transformer with Python and TensorFlow 2.0 – Encoder & Decoder	https://rubikscode.net/2019/08/19/transformer-with-python-and-tensorflow-2-0-encoder-decoder/	NULL	NULL	Not Available	NULL		2019
13837	Transformer with Python and TensorFlow 2.0 – Attention Layers	https://rubikscode.net/2019/08/05/transformer-with-python-and-tensorflow-2-0-attention-layers/	NULL	NULL	Not Available	NULL		2019
13838	Introduction to Q-Learning with Python and Open AI Gym	https://rubikscode.net/2019/06/24/introduction-to-q-learning-with-python-and-open-ai-gym/	NULL	NULL	Not Available	NULL		2019
13839	Introduction to Reinforcement Learning	https://rubikscode.net/2019/06/17/introduction-to-reinforcement-learning/	NULL	NULL	Not Available	NULL		2019
13840	Understanding Cross-entropy | Rubik's Code	https://rubikscode.net/2019/06/10/understanding-cross-entropy/	NULL	NULL	Not Available	NULL		2019
13841	Mathematics for Artificial Intelligence Series	https://rubikscode.net/2019/05/27/mathematics-for-artificial-intelligence-series/	NULL	NULL	Not Available	NULL		2019
13843	Mathematics for Artificial Intelligence – Probability	https://rubikscode.net/2019/05/06/mathematics-for-artificial-intelligence-probability/	NULL	NULL	Not Available	NULL		2019
13844	Mathematics for Artificial Intelligence – Linear Algebra	https://rubikscode.net/2019/04/29/mathematics-for-artificial-intelligence-linear-algebra/	NULL	NULL	Not Available	NULL		2019
13845	Ultimate Guide to TensorFlow 2.0 in Python	https://rubikscode.net/2019/04/22/ultimate-guide-to-tensorflow-2-0-in-python/	NULL	NULL	Not Available	NULL		2019
13846	Drawing with Voice – Speech Recognition with TensorFlow.js	https://rubikscode.net/2019/04/01/drawing-with-voice-speech-recognition-with-tensorflow-js/	NULL	NULL	Not Available	NULL		2019
13847	Image Classification With TensorFlow.js	https://rubikscode.net/2019/03/25/image-classification-with-tensorflow-js/	NULL	NULL	Not Available	NULL		2019
13848	Introduction to Tensorflow.js with Real-World Example	https://rubikscode.net/2019/03/18/introduction-to-tensorflow-js-with-real-world-example/	NULL	NULL	Not Available	NULL		2019
13849	Generative Adversarial Network (GAN) Series	https://rubikscode.net/2019/02/25/generative-adversarial-network-gan-series/	NULL	NULL	Not Available	NULL		2019
13850	Ultimate Guide to Machine Learning with ML.NET	https://rubikscode.net/2019/02/18/ultimate-guide-to-machine-learning-with-ml-net/	NULL	NULL	Not Available	NULL		2019
13851	Implementing CycleGAN Using Python	https://rubikscode.net/2019/02/11/implementing-cyclegan-using-python/	NULL	NULL	Not Available	NULL		2019
13852	AutoML and the Rise of Advanced Machine Learning Platforms	https://rubikscode.net/2019/02/07/automl-and-the-rise-of-advanced-machine-learning-platforms/	NULL	NULL	Not Available	NULL		2019
13853	Introduction to CycleGAN	https://rubikscode.net/2019/02/04/introduction-to-cyclegan/	NULL	NULL	Not Available	NULL		2019
13854	Introduction to Adversarial Autoencoders	https://rubikscode.net/2019/01/14/introduction-to-adversarial-autoencoders/	NULL	NULL	Not Available	NULL		2019
13855	Implementing GAN & DCGAN with Python	https://rubikscode.net/2018/12/17/implementing-gan-dcgan-with-python/	NULL	NULL	Not Available	NULL		2019
13856	Introduction to Generative Adversarial Networks (GANs)	https://rubikscode.net/2018/12/10/introduction-to-generative-adversarial-networks-gans/	NULL	NULL	Not Available	NULL		2019
13857	3 Ways to Implement Autoencoders with TensorFlow and Python | Rubik's Code	https://rubikscode.net/2018/11/26/3-ways-to-implement-autoencoders-with-tensorflow-and-python/	NULL	NULL	Not Available	NULL		2019
13858	Introduction to Autoencoders | Rubik's Code	https://rubikscode.net/2018/11/19/introduction-to-autoencoders/	NULL	NULL	Not Available	NULL		2019
13859	Google Search Processing Algorithms – Simplified | Rubik's Code	https://rubikscode.net/2018/11/02/google-search-processing-algorithms-simplified/	NULL	NULL	Not Available	NULL		2019
13860	How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-2)	https://medium.com/@souravboss.bose/comprehensive-topic-modelling-with-nmf-lsa-plsa-lda-lda2vec-part-2-e3921e712f11	NULL	NULL	Not Available	NULL		2019
13861	An Executive’s View: Overview of major Machine Learning Algorithms	https://medium.com/@souravboss.bose/gentle-overview-of-major-machine-learning-algorithms-e772cdd9480a	NULL	NULL	Not Available	NULL		2019
13862	An Executive’s View: Introduction to Machine Learning	https://medium.com/@souravboss.bose/introduction-to-machine-learning-34812c46c5bd	NULL	NULL	Not Available	NULL		2019
13863	Speech Recognition with Python Crash Course | Rubik's Code	https://rubikscode.net/2018/07/30/speech-recognition-with-python-crash-course/	NULL	NULL	Not Available	NULL		2019
13865	Understanding Long Short-Term Memory Networks (LSTMs) | Rubik's Code	https://rubikscode.net/2018/03/19/understanding-long-short-term-memory-networks-lstms/	NULL	NULL	Not Available	NULL		2019
13869	Artificial Neural Networks Series | Rubik's Code	https://rubikscode.net/2018/02/19/artificial-neural-networks-series/	NULL	NULL	Not Available	NULL		2019
13870	Implementing Simple Neural Network using Keras – With Python Example | Rubik's Code	https://rubikscode.net/2018/02/12/implementing-simple-neural-network-using-keras-with-python-example/	NULL	NULL	Not Available	NULL		2019
13875	Introduction to Artificial Neural Networks | Rubik's Code	https://rubikscode.net/2017/11/13/introduction-to-artificial-neural-networks/	NULL	NULL	Not Available	NULL		2019
13877	Speech Recognition — Feature Extraction MFCC & PLP - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/speech-recognition-feature-extraction-mfcc-plp-5455f5a69dd9	NULL	NULL	Not Available	NULL		2019
13878	Python Libraries for Interpretable Machine Learning	https://www.kdnuggets.com/2019/09/python-libraries-interpretable-machine-learning.html	NULL	NULL	Not Available	NULL		2019
13879	Artificial Neural Networks for Total Beginners - Towards Data Science	https://towardsdatascience.com/artificial-neural-networks-for-total-beginners-d8cd07abaae4	NULL	NULL	Not Available	NULL		2019
13880	GitHub - explosion/spacy-pytorch-transformers:	https://github.com/explosion/spacy-pytorch-transformers	NULL	NULL	Not Available	NULL		2019
13883	Attention in NLP - Kate Loginova - Medium	https://medium.com/@joealato/attention-in-nlp-734c6fa9d983	NULL	NULL	Not Available	NULL		2019
13884	A Beginner's Guide to Attention Mechanisms and Memory Networks | Skymind	https://skymind.ai/wiki/attention-mechanism-memory-network	NULL	NULL	Not Available	NULL		2019
13885	A Beginner's Guide to Backpropagation in Neural Networks | Skymind	https://skymind.ai/wiki/backpropagation	NULL	NULL	Not Available	NULL		2019
13887	Understanding Transformers in NLP: State-of-the-Art Models	https://www.analyticsvidhya.com/blog/2019/06/understanding-transformers-nlp-state-of-the-art-models/	NULL	NULL	Not Available	NULL		2019
13888	Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2018/11/tutorial-text-classification-ulmfit-fastai-library/	NULL	NULL	Not Available	NULL		2019
13889	Evolution Strategies	https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html	NULL	NULL	Not Available	NULL		2019
13890	Neural Network Primitives Part 1 - McCulloch Pitts Neuron Model (1943) | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/mcculloch-pitts-neuron-model/	NULL	NULL	Not Available	NULL		2019
13891	Neural Network Primitives Part 2 - Perceptron Model (1957) | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/neural-network-perceptron/	NULL	NULL	Not Available	NULL		2019
13892	Neural Network Primitives Part 3 – Sigmoid Neuron | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/sigmoid-neuron/	NULL	NULL	Not Available	NULL		2019
13893	Dummies guide to Cost Functions in Machine Learning [with Animation] | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/cost-functions-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
13894	Neural Network Primitives Final Part 4 - Modern Artificial Neuron | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/artificial-neuron/	NULL	NULL	Not Available	NULL		2019
13895	K Nearest Neighbor Classification - Animated Explanation for Beginners | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/k-nearest-neighbor-classification-simple-explanation-beginners/	NULL	NULL	Not Available	NULL		2019
13896	Optimization in Machine Learning - Gentle Introduction for Beginner | MLK - Machine Learning Knowledge	https://machinelearningknowledge.ai/understanding-optimization-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
13897	A 2019 Guide for Automatic Speech Recognition - Heartbeat	https://heartbeat.fritz.ai/a-2019-guide-for-automatic-speech-recognition-f1e1129a141c	NULL	NULL	Not Available	NULL		2019
13898	A 2019 Guide to Speech Synthesis with Deep Learning	https://heartbeat.fritz.ai/a-2019-guide-to-speech-synthesis-with-deep-learning-630afcafb9dd	NULL	NULL	Not Available	NULL		2019
13899	Automated Machine Learning in Python - Heartbeat	https://heartbeat.fritz.ai/automated-machine-learning-in-python-5d7ddcf6bb9e	NULL	NULL	Not Available	NULL		2019
13903	Monte Carlo Simulation withA? Python - Practical Business Python	https://pbpython.com/monte-carlo.html	NULL	NULL	Not Available	NULL		2019
13904	Python for NLP: Working with Facebook FastText Library	https://stackabuse.com/python-for-nlp-working-with-facebook-fasttext-library/	NULL	NULL	Not Available	NULL		2019
13918	What Is Deep Learning? | Skymind	https://skymind.ai/wiki/what-is-deep-learning	NULL	NULL	Not Available	NULL		2019
13919	Variational Autoencoder (VAE) | Skymind	https://skymind.ai/wiki/variational-autoencoder	NULL	NULL	Not Available	NULL		2019
13920	              Deep Learning, Machine Learning & AI Use Cases | Skymind          	https://skymind.ai/wiki/use-cases	NULL	NULL	Not Available	NULL		2019
13921	A Beginner's Guide to Unsupervised Learning | Skymind	https://skymind.ai/wiki/unsupervised-learning	NULL	NULL	Not Available	NULL		2019
13922	Symbolic Reasoning (Symbolic AI) and Machine Learning | Skymind	https://skymind.ai/wiki/symbolic-reasoning	NULL	NULL	Not Available	NULL		2019
13923	A Beginner's Guide to Supervised Learning | Skymind	https://skymind.ai/wiki/supervised-learning	NULL	NULL	Not Available	NULL		2019
13924	              Strong AI, Weak AI & Super Intelligence | Skymind          	https://skymind.ai/wiki/strong-ai-general-ai	NULL	NULL	Not Available	NULL		2019
13925	Spiking Neural Networks | Skymind	https://skymind.ai/wiki/spiking-neural-network-snn	NULL	NULL	Not Available	NULL		2019
13926	Single-layer Network | Skymind	https://skymind.ai/wiki/single-layer-network	NULL	NULL	Not Available	NULL		2019
13927	A Beginner's Guide to Restricted Boltzmann Machines (RBMs) | Skymind	https://skymind.ai/wiki/restricted-boltzmann-machine	NULL	NULL	Not Available	NULL		2019
13928	Random Forest | Skymind	https://skymind.ai/wiki/random-forest	NULL	NULL	Not Available	NULL		2019
13929	Radial Basis Function Networks | Skymind	https://skymind.ai/wiki/radial-basis-function-network-rbf	NULL	NULL	Not Available	NULL		2019
13930	A Beginner's Guide to Python Machine Learning and Data Science Frameworks | Skymind	https://skymind.ai/wiki/python-ai	NULL	NULL	Not Available	NULL		2019
13931	Open Datasets | Skymind	https://skymind.ai/wiki/open-datasets	NULL	NULL	Not Available	NULL		2019
13932	Neural Network Tuning | Skymind	https://skymind.ai/wiki/neural-network-tuning	NULL	NULL	Not Available	NULL		2019
13933	A Beginner's Guide to Neural Networks and Deep Learning | Skymind	https://skymind.ai/wiki/neural-network	NULL	NULL	Not Available	NULL		2019
13934	ND4J - Tensors in Java | Skymind	https://skymind.ai/wiki/nd4j-tensor-java	NULL	NULL	Not Available	NULL		2019
13935	A Beginner's Guide to Natural Language Processing (NLP) | Skymind	https://skymind.ai/wiki/natural-language-processing-nlp	NULL	NULL	Not Available	NULL		2019
13936	A Beginner's Guide to Multilayer Perceptrons (MLP) | Skymind	https://skymind.ai/wiki/multilayer-perceptron	NULL	NULL	Not Available	NULL		2019
13937	The MNIST database | Skymind	https://skymind.ai/wiki/mnist	NULL	NULL	Not Available	NULL		2019
13938	              A Beginner's Guide to Markov Chain Monte Carlo, Machine Learning & Markov Blankets | Skymind          	https://skymind.ai/wiki/markov-chain-monte-carlo	NULL	NULL	Not Available	NULL		2019
13939	Machine Learning Workflows | Skymind	https://skymind.ai/wiki/machine-learning-workflow	NULL	NULL	Not Available	NULL		2019
13940	Machine Learning Research Groups & Labs | Skymind	https://skymind.ai/wiki/machine-learning-research-groups-labs	NULL	NULL	Not Available	NULL		2019
13941	Machine Learning Operations (MLOps) | Skymind	https://skymind.ai/wiki/machine-learning-operations-mlops	NULL	NULL	Not Available	NULL		2019
13942	Machine Learning Software | Skymind	https://skymind.ai/wiki/machine-learning-library-software	NULL	NULL	Not Available	NULL		2019
13943	Machine Learning Demos | Skymind	https://skymind.ai/wiki/machine-learning-demos	NULL	NULL	Not Available	NULL		2019
13944	Machine Learning Algorithms | Skymind	https://skymind.ai/wiki/machine-learning-algorithms	NULL	NULL	Not Available	NULL		2019
13945	A Beginner's Guide to Machine Learning | Skymind	https://skymind.ai/wiki/machine-learning	NULL	NULL	Not Available	NULL		2019
13946	A Beginner's Guide to Logistic Regression For Machine Learning | Skymind	https://skymind.ai/wiki/logistic-regression	NULL	NULL	Not Available	NULL		2019
13947	Hopfield Networks | Skymind	https://skymind.ai/wiki/hopfieldnetworks	NULL	NULL	Not Available	NULL		2019
13948	A Beginner's Guide to Graph Analytics and Deep Learning | Skymind	https://skymind.ai/wiki/graph-analysis	NULL	NULL	Not Available	NULL		2019
13949	Gluon | Skymind	https://skymind.ai/wiki/gluon	NULL	NULL	Not Available	NULL		2019
13950	A Beginner's Guide to Genetic & Evolutionary Algorithms | Skymind	https://skymind.ai/wiki/evolutionary-genetic-algorithm	NULL	NULL	Not Available	NULL		2019
13951	A Beginner's Guide to Differentiable Programming | Skymind	https://skymind.ai/wiki/differentiableprogramming	NULL	NULL	Not Available	NULL		2019
13952	Denoising Autoencoders | Skymind	https://skymind.ai/wiki/denoising-autoencoder	NULL	NULL	Not Available	NULL		2019
13953	Define Artificial Intelligence - What Is AI? | Skymind	https://skymind.ai/wiki/define-artificial-intelligence-ai	NULL	NULL	Not Available	NULL		2019
13954	Deep Learning Resources | Skymind	https://skymind.ai/wiki/deeplearning-research-papers	NULL	NULL	Not Available	NULL		2019
13955	Deeplearning4j | Skymind	https://skymind.ai/wiki/deeplearning4j	NULL	NULL	Not Available	NULL		2019
13956	Deep-Belief Networks | Skymind	https://skymind.ai/wiki/deep-belief-network	NULL	NULL	Not Available	NULL		2019
13957	Decision Tree | Skymind	https://skymind.ai/wiki/decision-tree	NULL	NULL	Not Available	NULL		2019
13958	Eclipse DataVec - ETL & vectorization library (Pandas for the JVM) | Skymind	https://skymind.ai/wiki/datavec	NULL	NULL	Not Available	NULL		2019
13959	Datasets and Machine Learning | Skymind	https://skymind.ai/wiki/datasets-ml	NULL	NULL	Not Available	NULL		2019
13960	Data for Deep Learning | Skymind	https://skymind.ai/wiki/data-for-deep-learning	NULL	NULL	Not Available	NULL		2019
13961	Comparison of AI Frameworks | Skymind	https://skymind.ai/wiki/comparison-frameworks-dl4j-tensorflow-pytorch	NULL	NULL	Not Available	NULL		2019
13962	              A Beginner's Guide to Bayes' Theorem, Naive Bayes Classifiers and Bayesian Networks | Skymind          	https://skymind.ai/wiki/bayes-theorem-naive-bayes	NULL	NULL	Not Available	NULL		2019
13963	A Beginner's Guide to Automated Machine Learning & AI | Skymind	https://skymind.ai/wiki/automl-automated-machine-learning-ai	NULL	NULL	Not Available	NULL		2019
13964	Apache Spark for Deep Learning Workloads | Skymind	https://skymind.ai/wiki/apache-spark-deep-learning	NULL	NULL	Not Available	NULL		2019
13965	Artificial Intelligence (AI) vs. Machine Learning vs. Deep Learning | Skymind	https://skymind.ai/wiki/ai-vs-machine-learning-vs-deep-learning	NULL	NULL	Not Available	NULL		2019
13966	              Evaluation Metrics for Machine Learning - Accuracy, Precision, Recall, and F1 Defined | Skymind          	https://skymind.ai/wiki/accuracy-precision-recall-f1	NULL	NULL	Not Available	NULL		2019
13967	Scaling Transformer-XL to 128 GPUs - Towards Data Science	https://towardsdatascience.com/scaling-transformer-xl-to-128-gpus-27afce2d23d6	NULL	NULL	Not Available	NULL		2019
13969	Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch	https://www.kdnuggets.com/2019/08/numpy-neural-networks-computational-graphs.html	NULL	NULL	Not Available	NULL		2019
13970	GitHub - d2l-ai/d2l-en: Dive into Deep Learning: an interactive deep learning book with code, math, and discussions	https://github.com/d2l-ai/d2l-en	NULL	NULL	Not Available	NULL		2019
13971	Model overview — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/index.html	NULL	NULL	Not Available	NULL		2019
13972	Understand Graph Attention Network — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/1_gnn/9_gat.html	NULL	NULL	Not Available	NULL		2019
13973	Tree LSTM DGL Tutorial — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/2_small_graph/3_tree-lstm.html	NULL	NULL	Not Available	NULL		2019
13974	Transformer Tutorial — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/4_old_wines/7_transformer.html	NULL	NULL	Not Available	NULL		2019
13975	Capsule Network Tutorial — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/4_old_wines/2_capsule.html	NULL	NULL	Not Available	NULL		2019
13976	NodeFlow and Sampling — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/5_giant_graph/1_sampling_mx.html	NULL	NULL	Not Available	NULL		2019
13977	Large-Scale Training of Graph Neural Networks — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/5_giant_graph/2_giant.html	NULL	NULL	Not Available	NULL		2019
13978	Relational Graph Convolutional Network Tutorial — DGL 0.4 documentation	https://docs.dgl.ai/tutorials/models/1_gnn/4_rgcn.html	NULL	NULL	Not Available	NULL		2019
13980	Coached Conversational Preference Elicitation a??? Google AI	https://ai.google/tools/datasets/coached-conversational-preference-elicitation	NULL	NULL	Not Available	NULL		2019
13981	Taskmaster-1 a??? Google AI	https://ai.google/tools/datasets/taskmaster-1	NULL	NULL	Not Available	NULL		2019
13982	4.1. Multilayer Perceptron — Dive into Deep Learning 0.7 documentation	http://numpy.d2l.ai/chapter_multilayer-perceptrons/mlp.html	NULL	NULL	Not Available	NULL		2019
13983	Question Answering System in Python using BERT NLP - Pragnakalp Techlabs	https://www.pragnakalp.com/case-study/question-answering-system-in-python-using-bert-nlp	NULL	NULL	Not Available	NULL		2019
13984	GitHub - salesforce/ctrl: Conditional Transformer Language Model for Controllable Generation	https://github.com/salesforce/ctrl	NULL	NULL	Not Available	NULL		2019
13985	Confusion Matrix and Class Statistics - Towards Data Science	https://towardsdatascience.com/confusion-matrix-and-class-statistics-68b79f4f510b	NULL	NULL	Not Available	NULL		2019
13986	Long Short-Term Memory: From Zero to Hero with PyTorch	https://blog.floydhub.com/long-short-term-memory-from-zero-to-hero-with-pytorch/	NULL	NULL	Not Available	NULL		2019
13987	When Not to Choose the Best NLP Model	https://blog.floydhub.com/when-the-best-nlp-model-is-not-the-best-choice/	NULL	NULL	Not Available	NULL		2019
13988	N-Shot Learning: Learning More with Less Data	https://blog.floydhub.com/n-shot-learning/	NULL	NULL	Not Available	NULL		2019
13989	Gated Recurrent Unit (GRU) With PyTorch	https://blog.floydhub.com/gru-with-pytorch/	NULL	NULL	Not Available	NULL		2019
13990	DIY Data: Web Scraping with Python and BeautifulSoup	https://blog.floydhub.com/web-scraping-with-python/	NULL	NULL	Not Available	NULL		2019
13991	Statistics for Data Science	https://blog.floydhub.com/statistics-for-data-science/	NULL	NULL	Not Available	NULL		2019
13992	BERT is changing the NLP landscape	https://www.kdnuggets.com/2019/09/bert-changing-nlp-landscape.html	NULL	NULL	Not Available	NULL		2019
13993	403 Forbidden	https://machinelearningmastery.com/probability-resources-for-machine-learning/	NULL	NULL	Not Available	NULL		2019
13994	3 New Techniques for Data-Dimensionality Reduction in Machine Learning - The New Stack	https://thenewstack.io/3-new-techniques-for-data-dimensionality-reduction-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
13995	Python Basics: What makes Python so Powerful? - Edureka - Medium	https://medium.com/edureka/python-basics-f371d7fc0054	NULL	NULL	Not Available	NULL		2019
13997	403 Forbidden	https://machinelearningmastery.com/uncertainty-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
13999	PyTorch Reinforcement Learning: Teaching AI How to Play Flappy Bird | Toptal	https://www.toptal.com/deep-learning/pytorch-reinforcement-learning-tutorial	NULL	NULL	Not Available	NULL		2019
14000	RoBERTa: An optimized method for pretraining self-supervised NLP systems	https://ai.facebook.com/blog/roberta-an-optimized-method-for-pretraining-self-supervised-nlp-systems/	NULL	NULL	Not Available	NULL		2019
14001	Automatic Topic Labeling in 2018: History and Trends	https://medium.com/datadriveninvestor/automatic-topic-labeling-in-2018-history-and-trends-29c128cec17#1395	NULL	NULL	Not Available	NULL		2019
14002	Fine-grained Sentiment Analysis in Python (Part 1) - Towards Data Science	https://towardsdatascience.com/fine-grained-sentiment-analysis-in-python-part-1-2697bb111ed4	NULL	NULL	Not Available	NULL		2019
14003	The 8 Neural Network Architectures Machine Learning Researchers Need to Learn	https://www.kdnuggets.com/2018/02/8-neural-network-architectures-machine-learning-researchers-need-learn.html	NULL	NULL	Not Available	NULL		2019
14004	SQL Interface within JupyterLab - Parul Pandey - Medium	https://medium.com/@parulnith/sql-interface-within-jupyterlab-f81df1499602	NULL	NULL	Not Available	NULL		2019
14474	Neural Architecture Search — Limitations and Extensions	https://towardsdatascience.com/neural-architecture-search-limitations-and-extensions-8141bec7681f	NULL	NULL	Not Available	NULL		2019
14475	GitHub - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms and environments	https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch	NULL	NULL	Not Available	NULL		2019
14476	Speech Recognition — GMM, HMM - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/speech-recognition-gmm-hmm-8bb5eff8b196	NULL	NULL	Not Available	NULL		2019
14477	A Quick Introduction To Deep Learning - Towards Data Science	https://towardsdatascience.com/a-quick-introduction-to-deep-learning-41af97e064da	NULL	NULL	Not Available	NULL		2019
14478	A Beginner-Friendly Guide to PyTorch and How it Works from Scratch	https://www.analyticsvidhya.com/blog/2019/09/introduction-to-pytorch-from-scratch	NULL	NULL	Not Available	NULL		2019
14481	A Friendly Introduction to Support Vector Machines	https://www.kdnuggets.com/2019/09/friendly-introduction-support-vector-machines.html	NULL	NULL	Not Available	NULL		2019
14482	GitHub - alexa/alexa-prize-topical-chat-dataset: A knowledge-grounded human-human dataset of open-domain conversations.	https://github.com/alexa/alexa-prize-topical-chat-dataset/	NULL	NULL	Not Available	NULL		2019
14483	A Hands-On Guide To Text Classification With Transformer Models (XLNet, BERT, XLM, RoBERTa)	https://towardsdatascience.com/https-medium-com-chaturangarajapakshe-text-classification-with-transformer-models-d370944b50ca	NULL	NULL	Not Available	NULL		2019
14484	  BERT, RoBERTa, DistilBERT, XLNet: Which one to use?	https://www.kdnuggets.com/2019/09/bert-roberta-distilbert-xlnet-one-use.html	NULL	NULL	Not Available	NULL		2019
14485	GitHub - ThilinaRajapakse/pytorch-transformers-classification: Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif	https://github.com/ThilinaRajapakse/pytorch-transformers-classification	NULL	NULL	Not Available	NULL		2019
14486	GitHub - facebookresearch/LAMA: LAnguage Model Analysis	https://github.com/facebookresearch/LAMA	NULL	NULL	Not Available	NULL		2019
14487	GitHub - nlpyang/PreSumm: code for EMNLP 2019 paper Text Summarization with Pretrained Encoders	https://github.com/nlpyang/PreSumm	NULL	NULL	Not Available	NULL		2019
14488	GitHub - wenhuchen/Table-Fact-Checking: Data and Code for Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"	https://github.com/wenhuchen/Table-Fact-Checking	NULL	NULL	Not Available	NULL		2019
14489	Gaussian Process, not quite for dummies - Yuge Shi	https://yugeten.github.io/posts/2019/09/GP/	NULL	NULL	Not Available	NULL		2019
14490	403 Forbidden	https://machinelearningmastery.com/what-are-probability-distributions/	NULL	NULL	Not Available	NULL		2019
14491	Reinforcement Learning Tutorial with Open AI Gym - Towards Data Science	https://towardsdatascience.com/reinforcement-learning-tutorial-with-open-ai-gym-6215a7a15970	NULL	NULL	Not Available	NULL		2019
14493	Deep Reinforcement Learning Series - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/rl-deep-reinforcement-learning-series-833319a95530	NULL	NULL	Not Available	NULL		2019
14494	RL — Policy Gradients Explained (Part 2) - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/rl-policy-gradients-explained-advanced-topic-20c2b81a9a8b	NULL	NULL	Not Available	NULL		2019
14495	RL — Value Learning - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/rl-value-learning-24f52b49c36d	NULL	NULL	Not Available	NULL		2019
14496	RL — Reinforcement Learning Algorithms Quick Overview	https://medium.com/@jonathan_hui/rl-reinforcement-learning-algorithms-quick-overview-6bf69736694d	NULL	NULL	Not Available	NULL		2019
14497	A Beginner-Friendly Guide to PyTorch and How it Works from Scratch	https://www.analyticsvidhya.com/blog/2019/09/introduction-to-pytorch-from-scratch/	NULL	NULL	Not Available	NULL		2019
14498	Topic Modeling on Spanish Texts - Armand Olivares - Medium	https://medium.com/@armandj.olivares/topic-modeling-on-spanish-text-f7a5e998fb90	NULL	NULL	Not Available	NULL		2019
14499	Speech Recognition — Acoustic, Lexicon & Language Model	https://medium.com/@jonathan_hui/speech-recognition-acoustic-lexicon-language-model-aacac0462639	NULL	NULL	Not Available	NULL		2019
14500	Not another Conversational AI report - Wluper Blog - Medium	https://medium.com/wluper/not-another-conversational-ai-report-4a094337e6f1	NULL	NULL	Not Available	NULL		2019
14501	GitHub - deepset-ai/FARM: Fast & easy transfer learning for NLP. Harvesting language models for the industry.	https://github.com/deepset-ai/FARM	NULL	NULL	Not Available	NULL		2019
14502	pytorch-pretrained-bert · PyPI	https://pypi.org/project/pytorch-pretrained-bert/	NULL	NULL	Not Available	NULL		2019
14503	Named Entity Recognition with Bert – Depends on the definition	https://www.depends-on-the-definition.com/named-entity-recognition-with-bert/	NULL	NULL	Not Available	NULL		2019
14504	Accelerate with BERT: NLP Optimization Models | Toptal	https://www.toptal.com/natural-language-processing/accelerate-with-bert-nlp-optimization-models	NULL	NULL	Not Available	NULL		2019
14505	BERT | The Stone and the Shell	https://tedunderwood.com/tag/bert/	NULL	NULL	Not Available	NULL		2019
14506	Introduction to named entity recognition in python – Depends on the definition	https://www.depends-on-the-definition.com/introduction-named-entity-recognition-python/	NULL	NULL	Not Available	NULL		2019
14507	Guide to multi-class multi-label classification with neural networks in python – Depends on the definition	https://www.depends-on-the-definition.com/guide-to-multi-label-classification-with-neural-networks/	NULL	NULL	Not Available	NULL		2019
14508	Guide to sequence tagging with neural networks in python – Depends on the definition	https://www.depends-on-the-definition.com/guide-sequence-tagging-neural-networks-python/	NULL	NULL	Not Available	NULL		2019
14509	Named entity recognition with conditional random fields in python – Depends on the definition	https://www.depends-on-the-definition.com/named-entity-recognition-conditional-random-fields-python/	NULL	NULL	Not Available	NULL		2019
14510	Sequence tagging with a LSTM-CRF – Depends on the definition	https://www.depends-on-the-definition.com/sequence-tagging-lstm-crf/	NULL	NULL	Not Available	NULL		2019
14511	Enhancing LSTMs with character embeddings for Named entity recognition – Depends on the definition	https://www.depends-on-the-definition.com/lstm-with-char-embeddings-for-ner/	NULL	NULL	Not Available	NULL		2019
14512	Text analysis with named entities – Depends on the definition	https://www.depends-on-the-definition.com/text-analysis-with-named-entities/	NULL	NULL	Not Available	NULL		2019
14513	LSTM with attention for relation classification – Depends on the definition	https://www.depends-on-the-definition.com/attention-lstm-relation-classification/	NULL	NULL	Not Available	NULL		2019
14514	Understanding text data with topic models – Depends on the definition	https://www.depends-on-the-definition.com/understanding-text-data-with-topic-models/	NULL	NULL	Not Available	NULL		2019
14515	Introduction to n-gram language models – Depends on the definition	https://www.depends-on-the-definition.com/introduction-n-gram-language-models/	NULL	NULL	Not Available	NULL		2019
14516	Introduction to entity embeddings with neural networks – Depends on the definition	https://www.depends-on-the-definition.com/introduction-to-embeddings-with-neural-networks/	NULL	NULL	Not Available	NULL		2019
14517	State-of-the-art named entity recognition with residual LSTM and ELMo – Depends on the definition	https://www.depends-on-the-definition.com/named-entity-recognition-with-residual-lstm-and-elmo/	NULL	NULL	Not Available	NULL		2019
14518	Evaluate sequence models in python – Depends on the definition	https://www.depends-on-the-definition.com/evaluate-sequence-models/	NULL	NULL	Not Available	NULL		2019
14519	Interpretable Named entity recognition with keras and LIME – Depends on the definition	https://www.depends-on-the-definition.com/interpretable-named-entity-recognition/	NULL	NULL	Not Available	NULL		2019
14520	Fine-Tuning GPT-2 fromHuman Preferences	https://openai.com/blog/fine-tuning-gpt-2/	NULL	NULL	Not Available	NULL		2019
14522	NLP & fastai | French Language Model - Pierre Guillou - Medium	https://medium.com/@pierre_guillou/nlp-fastai-french-language-model-d0e2a9e12cab	NULL	NULL	Not Available	NULL		2019
14523	Writing your first Neural Net in less than 30 lines of code with Keras.	https://towardsdatascience.com/writing-your-first-neural-net-in-less-than-30-lines-of-code-with-keras-18e160a35502	NULL	NULL	Not Available	NULL		2019
14524	Writing your first Generative Adversarial Network with Keras.	https://towardsdatascience.com/writing-your-first-generative-adversarial-network-with-keras-2d16fd8d4889	NULL	NULL	Not Available	NULL		2019
14525	A Gentle Introduction to PyTorch 1.2	https://www.kdnuggets.com/2019/09/gentle-introduction-pytorch-12.html	NULL	NULL	Not Available	NULL		2019
14526	CBMM Tutorial: Optimization Notes	https://cbmm.mit.edu/sites/default/files/CBMM_Optimization_Notes.html	NULL	NULL	Not Available	NULL		2019
14527	GitHub - jhlau/doc2vec: Python scripts for training/testing paragraph vectors	https://github.com/jhlau/doc2vec	NULL	NULL	Not Available	NULL		2019
14528	Intro to Automatic Keyphrase Extraction	http://bdewilde.github.io/blog/2014/09/23/intro-to-automatic-keyphrase-extraction/	NULL	NULL	Not Available	NULL		2019
14529	First neural network for beginners explained (with code)	https://towardsdatascience.com/first-neural-network-for-beginners-explained-with-code-4cfd37e06eaf	NULL	NULL	Not Available	NULL		2019
14530	GitHub - freewym/espresso: Espresso: A Fast End-to-End Neural Speech Recognition Toolkit	https://github.com/freewym/espresso	NULL	NULL	Not Available	NULL		2019
14531	Introduction to Information Extraction Using Python and spaCy	https://www.analyticsvidhya.com/blog/2019/09/introduction-information-extraction-python-spacy	NULL	NULL	Not Available	NULL		2019
14532	Super Machine Learning Revision Notes | CreateMoMo	https://createmomo.github.io/2018/01/23/Super-Machine-Learning-Revision-Notes/	NULL	NULL	Not Available	NULL		2019
14533	GitHub - boudinfl/pke: Python Keyphrase Extraction module	https://github.com/boudinfl/pke	NULL	NULL	Not Available	NULL		2019
14534	Scikit-Learn & More for Synthetic Dataset Generation for Machine Learning	https://www.kdnuggets.com/2019/09/scikit-learn-synthetic-dataset.html	NULL	NULL	Not Available	NULL		2019
14535	GitHub - nlpyang/hiersumm: Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019	https://github.com/nlpyang/hiersumm	NULL	NULL	Not Available	NULL		2019
14536	Comprehensive Guide to Text Summarization using Deep Learning in Python	https://www.analyticsvidhya.com/blog/2019/06/comprehensive-guide-text-summarization-using-deep-learning-python/	NULL	NULL	Not Available	NULL		2019
14537	Demystifying BERT: The Groundbreaking NLP Framework	https://www.analyticsvidhya.com/blog/2019/09/demystifying-bert-groundbreaking-nlp-framework	NULL	NULL	Not Available	NULL		2019
14538	GitHub - facebookresearch/ELI5: Scripts and links to recreate the ELI5 dataset.	https://github.com/facebookresearch/ELI5	NULL	NULL	Not Available	NULL		2019
14539	Speech Recognition — ASR Decoding - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/speech-recognition-asr-decoding-f152aebed779	NULL	NULL	Not Available	NULL		2019
14540	Faiss: A library for efficient similarity search - Facebook Engineering	https://engineering.fb.com/data-infrastructure/faiss-a-library-for-efficient-similarity-search/	NULL	NULL	Not Available	NULL		2019
14541	Speech Recognition — Weighted Finite-State Transducers (WFST)	https://medium.com/@jonathan_hui/speech-recognition-weighted-finite-state-transducers-wfst-a4ece08a89b7	NULL	NULL	Not Available	NULL		2019
14543	Learning with Backpropagation - A Shallow Blog about Deep Learning	https://blog.yani.io/sgd/	NULL	NULL	Not Available	NULL		2019
14544	Backpropagation Derivation - Delta Rule - A Shallow Blog about Deep Learning	https://blog.yani.io/deltarule/	NULL	NULL	Not Available	NULL		2019
14545	Transformers — transformers 2.1.1 documentation	https://huggingface.co/transformers	NULL	NULL	Not Available	NULL		2019
14547	A Gentle Introduction to PyTorch 1.2 - dair.ai - Medium	https://medium.com/dair-ai/pytorch-1-2-introduction-guide-f6fa9bb7597c	NULL	NULL	Not Available	NULL		2019
14548	Training SOTA Language Models With Three Lines of Code | Synced	https://syncedreview.com/2019/09/26/training-sota-language-models-with-three-lines-of-code/	NULL	NULL	Not Available	NULL		2019
14549	Quick Start - Spark NLP	https://nlp.johnsnowlabs.com/docs/en/quickstart	NULL	NULL	Not Available	NULL		2019
14550	GitHub - dsgiitr/d2l-pytorch: This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.	https://github.com/dsgiitr/d2l-pytorch	NULL	NULL	Not Available	NULL		2019
14551	The jiant toolkit for general-purpose text understanding models	https://jiant.info	NULL	NULL	Not Available	NULL		2019
14552	Illustrative Proof of Universal Approximation Theorem	https://medium.com/hackernoon/illustrative-proof-of-universal-approximation-theorem-5845c02822f6	NULL	NULL	Not Available	NULL		2019
14553	Building a Feedforward Neural Network from Scratch in Python	https://medium.com/hackernoon/building-a-feedforward-neural-network-from-scratch-in-python-d3526457156b	NULL	NULL	Not Available	NULL		2019
14554	Implementing and Analyzing different Activation Functions and Weight Initialization Methods Using Python	https://towardsdatascience.com/implementing-different-activation-functions-and-weight-initialization-methods-using-python-c78643b9f20f	NULL	NULL	Not Available	NULL		2019
14555	Building a Feedforward Neural Network using Pytorch NN Module	https://medium.com/@niranjankumarc/building-a-feedforward-neural-network-using-pytorch-nn-module-52b1d7ea5c3e	NULL	NULL	Not Available	NULL		2019
14557	Implementing Different Variants of Gradient Descent Optimization Algorithm in Python using Numpy	https://medium.com/hackernoon/implementing-different-variants-of-gradient-descent-optimization-algorithm-in-python-using-numpy-809e7ab3bab4	NULL	NULL	Not Available	NULL		2019
14558	Demystifying Different Variants of Gradient Descent Optimization Algorithm	https://medium.com/hackernoon/demystifying-different-variants-of-gradient-descent-optimization-algorithm-19ae9ba2e9bc	NULL	NULL	Not Available	NULL		2019
14559	Deep Learning: Feedforward Neural Networks Explained	https://medium.com/hackernoon/deep-learning-feedforward-neural-networks-explained-c34ae3f084f1	NULL	NULL	Not Available	NULL		2019
14560	Sigmoid Neuron Learning Algorithm Explained With Math	https://towardsdatascience.com/sigmoid-neuron-learning-algorithm-explained-with-math-eb9280e53f07	NULL	NULL	Not Available	NULL		2019
14561	Implementing The Perceptron Algorithm From Scratch In Python	https://medium.com/hackernoon/implementing-the-perceptron-algorithm-from-scratch-in-python-48be2d07b1c0	NULL	NULL	Not Available	NULL		2019
14562	Perceptron — Deep Learning Basics - HackerNoon.com - Medium	https://medium.com/hackernoon/perceptron-deep-learning-basics-3a938c5f84b6	NULL	NULL	Not Available	NULL		2019
14563	McCulloch Pitts Neuron — Deep Learning Building Block	https://medium.com/hackernoon/mcculloch-pitts-neuron-deep-learning-building-blocks-7928f4e0504d	NULL	NULL	Not Available	NULL		2019
14564	Activation functions and weight initialization in deep learning	https://medium.com/@sakeshpusuluri123/activation-functions-and-weight-initialization-in-deep-learning-ebc326e62a5c	NULL	NULL	Not Available	NULL		2019
14565	Neural Networks: Feedforward and Backpropagation Explained	https://mlfromscratch.com/neural-networks-explained/#/	NULL	NULL	Not Available	NULL		2019
14566	Activation Functions Explained - GELU, SELU, ELU, ReLU and more	https://mlfromscratch.com/activation-functions-explained/	NULL	NULL	Not Available	NULL		2019
14567	Probability Theory: Bayes Theorem, Sum Rule and Product Rule	https://mlfromscratch.com/probability-theory-bayes-theorem/	NULL	NULL	Not Available	NULL		2019
14568	Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)	https://mlfromscratch.com/principal-component-analysis-pca-svd/	NULL	NULL	Not Available	NULL		2019
14569	Measures of Distance - Similarity and Dissimilarity	https://mlfromscratch.com/measures-of-distance-similarity-and-dissimilarity/	NULL	NULL	Not Available	NULL		2019
14570	Introductory Terms in Machine Learning	https://mlfromscratch.com/introductory-terms-in-machine-learning/	NULL	NULL	Not Available	NULL		2019
14571	Data Basics and Data Manipulation	https://mlfromscratch.com/data-basics-data-manipulation/	NULL	NULL	Not Available	NULL		2019
14572	Understanding Convolution Neural Networks: CNN— the ELI5 way	https://towardsdatascience.com/understanding-convolution-neural-networks-the-eli5-way-785330cd1fb7	NULL	NULL	Not Available	NULL		2019
14574	Build a Recommendation System Using word2vec in Python	https://www.analyticsvidhya.com/blog/2019/07/how-to-build-recommendation-system-word2vec-python/	NULL	NULL	Not Available	NULL		2019
14575	Generative Adversarial Networks for Text Generation — Part 1	https://becominghuman.ai/generative-adversarial-networks-for-text-generation-part-1-2b886c8cab10	NULL	NULL	Not Available	NULL		2019
14576	Generative Adversarial Networks for Text Generation — Part 2: RL	https://becominghuman.ai/generative-adversarial-networks-for-text-generation-part-2-rl-1bc18a2b8c60	NULL	NULL	Not Available	NULL		2019
14577	Generative Adversarial Networks for Text Generation — Part 3: non-RL methods	https://becominghuman.ai/generative-adversarial-networks-for-text-generation-part-3-non-rl-methods-70d1be02350b	NULL	NULL	Not Available	NULL		2019
14578	Practical AI : Using pretrained BERT to generate grammar and vocabulary Multiple Choice Questions (MCQs) from any news article or story	https://becominghuman.ai/practical-ai-using-pretrained-bert-to-generate-grammar-and-vocabulary-multiple-choice-questions-d92e4fbeeeaa	NULL	NULL	Not Available	NULL		2019
14579	Understanding neural networks 1: The concept of neurons	https://becominghuman.ai/understanding-neural-networks-1-the-concept-of-neurons-287be36d40f	NULL	NULL	Not Available	NULL		2019
14580	Building Your First Neural Net From Scratch With PyTorch	https://medium.com/@tomgrek/building-your-first-neural-net-from-scratch-with-pytorch-56b0e9c84d54	NULL	NULL	Not Available	NULL		2019
14581	PyTorch From First Principles: Part II - Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/pytorch-from-first-principles-part-ii-d37529c57a62	NULL	NULL	Not Available	NULL		2019
14582	Keras for Beginners: Implementing a Convolutional Neural Network - victorzhou.com	https://victorzhou.com/blog/keras-cnn-tutorial/	NULL	NULL	Not Available	NULL		2019
14583	403 Forbidden	https://blog.dominodatalab.com/natural-language-in-python-using-spacy/	NULL	NULL	Not Available	NULL		2019
14584	How to build Convolutional Neural Networks in PyTorch?	https://www.analyticsvidhya.com/blog/2019/10/building-image-classification-models-cnn-pytorch/	NULL	NULL	Not Available	NULL		2019
14586	Math in Data Science – Dataquest	https://www.dataquest.io/blog/math-in-data-science/	NULL	NULL	Not Available	NULL		2019
14587	Research Guide for Neural Architecture Search - Heartbeat	https://heartbeat.fritz.ai/research-guide-for-neural-architecture-search-b250c5b1b2e5	NULL	NULL	Not Available	NULL		2019
14588	Document Embedding Techniques - Towards Data Science	https://towardsdatascience.com/document-embedding-techniques-fed3e7a6a25d	NULL	NULL	Not Available	NULL		2019
14589	Speeding up BERT - Intento	https://blog.inten.to/speeding-up-bert-5528e18bb4ea	NULL	NULL	Not Available	NULL		2019
14590	Graph Algorithms, Neural Networks, and Graph Databases - By George Anadiotis	https://hackernoon.com/graph-algorithms-neural-networks-and-graph-databases-year-of-the-graph-newsletter-september-2019-sb4f3344h	NULL	NULL	Not Available	NULL		2019
14591	How to build a Knowledge Graph from Text Using spaCy	https://www.analyticsvidhya.com/blog/2019/10/how-to-build-knowledge-graph-text-using-spacy/	NULL	NULL	Not Available	NULL		2019
14592	Deep Reinforcement Learning (DeepRL) for Abstractive Text Summarization made easy (Tutorial 9)	https://medium.com/@theamrzaki/deep-reinforcement-learning-deeprl-for-abstractive-text-summarization-made-easy-tutorial-9-c6914999c76c	NULL	NULL	Not Available	NULL		2019
14593	Teach seq2seq models to learn from their mistakes using deep curriculum learning (Tutorial 8)	https://medium.com/hackernoon/teach-seq2seq-models-to-learn-from-their-mistakes-using-deep-curriculum-learning-tutorial-8-a730a387754	NULL	NULL	Not Available	NULL		2019
14594	Combination of Abstractive & Extractive methods for Text Summarization (Tutorial 7)	https://medium.com/hackernoon/combination-of-abstractive-extractive-methods-for-text-summarization-tutorial-7-8a4fb85d67e2	NULL	NULL	Not Available	NULL		2019
14595	Evaluation Metrics for Language Modeling	https://thegradient.pub/understanding-evaluation-metrics-for-language-models/	NULL	NULL	Not Available	NULL		2019
14596	The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time	https://jalammar.github.io/illustrated-gpt2/	NULL	NULL	Not Available	NULL		2019
14597	Introduction to Question Answering over Knowledge Graphs – Let the Machines Learn	https://yashuseth.blog/2019/10/08/introduction-question-answering-knowledge-graphs-kgqa/	NULL	NULL	Not Available	NULL		2019
14598	XLNet Fine-Tuning Tutorial with PyTorch · Chris McCormick	https://mccormickml.com/2019/09/19/XLNet-fine-tuning/	NULL	NULL	Not Available	NULL		2019
14600	A Quick Introduction to Text Summarization in Machine Learning	https://towardsdatascience.com/a-quick-introduction-to-text-summarization-in-machine-learning-3d27ccf18a9f	NULL	NULL	Not Available	NULL		2019
14601	An overview of proxy-label approaches for semi-supervised learning	https://ruder.io/semi-supervised/	NULL	NULL	Not Available	NULL		2019
14602	Research Guide for Transformers - Heartbeat	https://heartbeat.fritz.ai/research-guide-for-transformers-3ff751493222	NULL	NULL	Not Available	NULL		2019
14604	Research Guide: Data Augmentation for Deep Learning	https://heartbeat.fritz.ai/research-guide-data-augmentation-for-deep-learning-7f141fcc191c	NULL	NULL		NULL		NULL
14605	Activation maps for deep learning models in a few lines of code	https://towardsdatascience.com/activation-maps-for-deep-learning-models-in-a-few-lines-of-code-ed9ced1e8d21	NULL	NULL		NULL		NULL
14606	Beyond Word Embedding: Key Ideas in Document Embedding	https://www.kdnuggets.com/2019/10/beyond-word-embedding-document-embedding.html	NULL	NULL		NULL		NULL
14607	Learn How to Perform Feature Extraction from Graphs using DeepWalk	https://www.analyticsvidhya.com/blog/2019/11/graph-feature-extraction-deepwalk/	NULL	NULL		NULL		2019
14610	Ch:14 Generative Adversarial Networks (GAN’s) with Math.	https://medium.com/deep-math-machine-learning-ai/ch-14-general-adversarial-networks-gans-with-math-1318faf46b43	NULL	NULL		NULL		NULL
14611	Ch:14.1 Types of GAN’s with Math. - Deep Math Machine learning.ai - Medium	https://medium.com/deep-math-machine-learning-ai/ch-14-1-types-of-gans-with-math-5b0dbc1a491d	NULL	NULL		NULL		NULL
14612	Ch:13: Deep Reinforcement learning — Deep Q-learning and Policy Gradients ( towards AGI ).	https://medium.com/deep-math-machine-learning-ai/ch-13-deep-reinforcement-learning-deep-q-learning-and-policy-gradients-towards-agi-a2a0b611617e	NULL	NULL		NULL		NULL
14613	Ch 12.1:Model Free Reinforcement learning algorithms (Monte Carlo, SARSA, Q-learning)	https://medium.com/deep-math-machine-learning-ai/ch-12-1-model-free-reinforcement-learning-algorithms-monte-carlo-sarsa-q-learning-65267cb8d1b4	NULL	NULL		NULL		NULL
14614	Ch 12:Reinforcement learning Complete Guide #towardsAGI	https://medium.com/deep-math-machine-learning-ai/ch-12-reinforcement-learning-complete-guide-towardsagi-ceea325c5d53	NULL	NULL		NULL		NULL
14615	Chapter 11: ChatBots to Question & Answer systems. - Deep Math Machine learning.ai - Medium	https://medium.com/deep-math-machine-learning-ai/chapter-11-chatbots-to-question-answer-systems-e06c648ac22a	NULL	NULL		NULL		NULL
14619	40 Techniques Used by Data Scientists - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/40-techniques-used-by-data-scientists	NULL	NULL		NULL		NULL
14620	Netflix Recommendations: Beyond the 5 stars (Part 1)	https://medium.com/netflix-techblog/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429	NULL	NULL		NULL		NULL
14621	Netflix Recommendations: Beyond the 5 stars (Part 2)	https://medium.com/@Netflix_Techblog/netflix-recommendations-beyond-the-5-stars-part-2-d9b96aa399f5	NULL	NULL		NULL		NULL
14623	Neural Networks From Scratch - victorzhou.com	https://victorzhou.com/series/neural-networks-from-scratch/	NULL	NULL		NULL		NULL
14624	An Introduction to Recurrent Neural Networks for Beginners - victorzhou.com	https://victorzhou.com/blog/intro-to-rnns/	NULL	NULL		NULL		NULL
14625	A Simple Explanation of the Softmax Function - victorzhou.com	https://victorzhou.com/blog/softmax/	NULL	NULL		NULL		NULL
14628	CNNs, Part 1: An Introduction to Convolutional Neural Networks - victorzhou.com	https://victorzhou.com/blog/intro-to-cnns-part-1/	NULL	NULL		NULL		NULL
14629	Unsupervised Cross-lingual Representation Learning	https://ruder.io/unsupervised-cross-lingual-learning/	NULL	NULL		NULL		2019
14630	403 Forbidden	https://machinelearningmastery.com/expectation-maximization-em-algorithm/	NULL	NULL		NULL		NULL
14631	Understanding the Neural Tangent Kernel – Rajat's Blog – A blog about machine learning and math.	https://rajatvd.github.io/NTK/	NULL	NULL		NULL		NULL
14632	Self-Supervised Representation Learning	https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html	NULL	NULL		NULL		2019
14633	Simple Transformers — Named Entity Recognition with Transformer Models	https://towardsdatascience.com/simple-transformers-named-entity-recognition-with-transformer-models-c04b9242a2a0	NULL	NULL		NULL		NULL
14634	Gaussian Processes, not quite for dummies	https://thegradient.pub/gaussian-process-not-quite-for-dummies/	NULL	NULL		NULL		2019
14635	74 Summaries of Machine Learning and NLP Research - Marek Rei	http://www.marekrei.com/blog/74-summaries-of-machine-learning-and-nlp-research	NULL	NULL		NULL		2019
14636	Practical Advice for Building Deep Neural Networks – Perception, Control, Cognition	https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/amp/	NULL	NULL		NULL		2017
14638	Learn how to build a Language Translator - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/learn-how-to-build-a-language-translator-648d30845681	NULL	NULL		NULL		NULL
14639	The State of NLP Literature: Part I - Anonymous Researcher - Medium	https://medium.com/@nlpscholar/state-of-nlp-cbf768492f90	NULL	NULL		NULL		NULL
14640	The State of NLP Literature: Part II - Anonymous Researcher - Medium	https://medium.com/@nlpscholar/the-state-of-nlp-literature-part-ii-aece7bf5bad6	NULL	NULL		NULL		NULL
14641	The State of NLP Literature: Part IIIa - Anonymous Researcher - Medium	https://medium.com/@nlpscholar/the-state-of-nlp-literature-part-iiia-845eb5dc3364	NULL	NULL		NULL		NULL
14642	The State of NLP Literature: Part IIIb - Anonymous Researcher - Medium	https://medium.com/@nlpscholar/the-state-of-nlp-literature-part-iiib-4030ba339c2d	NULL	NULL		NULL		NULL
14643	Understanding NLP and Topic Modeling Part 1	https://www.kdnuggets.com/2019/11/understanding-nlp-topic-modeling-part-1.html	NULL	NULL		NULL		NULL
14644	Neural Network: A Complete Beginners Guide from Scratch	https://medium.com/gadictos/neural-network-a-complete-beginners-guide-from-scratch-cf1fc9d5cd12	NULL	NULL		NULL		NULL
14646	How is the Quiet Revolution in Semi-Supervised Learning Changing the Industry?	https://towardsdatascience.com/how-is-the-quiet-revolution-in-semi-supervised-learning-changing-the-industry-4a25f211ce1f	NULL	NULL		NULL		NULL
14649	The Quiet Semi-Supervised Revolution - Towards Data Science	https://towardsdatascience.com/the-quiet-semi-supervised-revolution-edec1e9ad8c	NULL	NULL		NULL		NULL
14650	Visualizing Convolution Neural Networks using Pytorch	https://towardsdatascience.com/visualizing-convolution-neural-networks-using-pytorch-3dfa8443e74e	NULL	NULL		NULL		NULL
14651	Analyses of Deep Learning (STATS 385)	https://stats385.github.io/networks	NULL	NULL		NULL		NULL
14652	Analyses of Deep Learning (STATS 385)	https://stats385.github.io/learning	NULL	NULL		NULL		NULL
14653	Deep Learning: The Transformer - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/deep-learning-the-transformer-9ae5e9c5a190	NULL	NULL		NULL		NULL
14654	Deep Learning: Convolutional Neural Networks (CNNs)	https://medium.com/@b.terryjack/deep-learning-convolutional-neural-networks-cnns-7f7f16341df1	NULL	NULL		NULL		NULL
14655	Natural Language Generation (NLG) - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/natural-language-generation-nlg-fe8844db6f01	NULL	NULL		NULL		NULL
14656	NLU: Topic Discovery - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/nlu-topic-discovery-85b492c4beb7	NULL	NULL		NULL		NULL
14657	NLP: Pretrained Named Entity Recognition (NER) - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/nlp-pretrained-named-entity-recognition-7caa5cd28d7b	NULL	NULL		NULL		NULL
14658	NLP: Pre-trained Sentiment Analysis - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/nlp-pre-trained-sentiment-analysis-1eb52a9d742c	NULL	NULL		NULL		NULL
14659	NLP: Everything about Embeddings - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/nlp-everything-about-word-embeddings-9ea21f51ccfe	NULL	NULL		NULL		NULL
14660	Deep Learning: Feed Forward Neural Networks (FFNNs)	https://medium.com/@b.terryjack/introduction-to-deep-learning-feed-forward-neural-networks-ffnns-a-k-a-c688d83a309d	NULL	NULL		NULL		NULL
14661	Current Chatbot Conversation Designs - Mohammed Terry-Jack - Medium	https://medium.com/@b.terryjack/chatbot-conversational-design-insights-132d52ef2b1d	NULL	NULL		NULL		NULL
14663	Knowledge Graphs & NLP @ EMNLP 2019 Part I - Michael Galkin - Medium	https://medium.com/@mgalkin/knowledge-graphs-nlp-emnlp-2019-part-i-e4e69fd7957c	NULL	NULL		NULL		NULL
14664	Knowledge Graphs & NLP @ EMNLP 2019 Part II - Michael Galkin - Medium	https://medium.com/@mgalkin/knowledge-graphs-nlp-emnlp-2019-part-ii-56f5b03ad9ba	NULL	NULL		NULL		NULL
14665	Building a Knowledge Graph-based Dialogue System at the 2nd ConvAI Summer School	https://medium.com/deeppavlov/building-a-knowledge-graph-based-dialogue-system-at-the-2nd-convai-summer-school-ec2d0aa060e5	NULL	NULL		NULL		NULL
14666	Probabilistic Matrix Factorisation - Wluper Blog - Medium	https://medium.com/wluper/probabilistic-matrix-factorisation-fbadac56fec8	NULL	NULL		NULL		NULL
14667	How do Dialogue Systems decide what to say or which actions to take?	https://medium.com/wluper/how-do-dialogue-systems-decide-what-to-say-or-which-actions-to-take-b32ca223aff1	NULL	NULL		NULL		NULL
14668	An overview of Conversational AI - Voice Tech Podcast - Medium	https://medium.com/voice-tech-podcast/an-overview-of-conversational-ai-174adc295f1e	NULL	NULL		NULL		NULL
14669	A Comprehensive Guide to Natural Language Generation	https://medium.com/sciforce/a-comprehensive-guide-to-natural-language-generation-dd63a4b6e548	NULL	NULL		NULL		NULL
14670	Understanding Tensor Processing Units - Sciforce - Medium	https://medium.com/sciforce/understanding-tensor-processing-units-10ff41f50e78	NULL	NULL		NULL		NULL
14671	A Comprehensive Guide to Attention Mechanism in Deep Learning	https://www.analyticsvidhya.com/blog/2019/11/comprehensive-guide-attention-mechanism-deep-learning/	NULL	NULL		NULL		2019
14672	Why Sigmoid? - nu?cleoML - Medium	https://medium.com/n%C3%BAcleoml/why-sigmoid-ee95299e11fd	NULL	NULL		NULL		NULL
14673	Reinforcement Learning and Deep Reinforcement Learning with Tic Tac Toe	https://towardsdatascience.com/reinforcement-learning-and-deep-reinforcement-learning-with-tic-tac-toe-588d09c41dda	NULL	NULL		NULL		NULL
14675	PyTorch Basics: Tensors and Gradients - JovianML - Medium	https://medium.com/dsnet/pytorch-basics-tensors-and-gradients-eb2f6e8a6eee	NULL	NULL		NULL		NULL
14676	Linear Regression and Gradient Descent from scratch in PyTorch	https://medium.com/dsnet/linear-regression-with-pytorch-3dde91d60b50	NULL	NULL		NULL		NULL
14677	Image Classification using Logistic Regression in PyTorch	https://medium.com/dsnet/image-classification-using-logistic-regression-in-pytorch-ebb96cc9eb79	NULL	NULL		NULL		NULL
14678	Training Deep Neural Networks on a GPU with PyTorch	https://medium.com/dsnet/training-deep-neural-networks-on-a-gpu-with-pytorch-11079d89805	NULL	NULL		NULL		NULL
14679	stanford-cs231n-2018/two_layer_net.ipynb at master · haofeixu/stanford-cs231n-2018 · GitHub	https://github.com/haofeixu/stanford-cs231n-2018/blob/master/assignment1/two_layer_net.ipynb	NULL	NULL		NULL		NULL
14680	Transfer Learning in NLP - Explorations in Language and Learning - Medium	https://medium.com/explorations-in-language-and-learning/transfer-learning-in-nlp-2d09c3dfaeb6	NULL	NULL		NULL		NULL
14681	Demystifying BERT: The Groundbreaking NLP Framework	https://www.analyticsvidhya.com/blog/2019/09/demystifying-bert-groundbreaking-nlp-framework/	NULL	NULL		NULL		2019
14682	NLP — Word Embedding & GloVe - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/nlp-word-embedding-glove-5e7f523999f6	NULL	NULL		NULL		NULL
14683	Hugging Face Implements SOTA Transformer Architectures for PyTorch and TensorFlow 2.0	https://medium.com/syncedreview/hugging-face-implements-sota-transformer-architectures-for-pytorch-and-tensorflow-2-0-2e821dcb498d	NULL	NULL		NULL		NULL
14684	Summarize document by combing extractive and abstractive steps	https://medium.com/dataseries/summarize-document-by-combing-extractive-and-abstractive-steps-40295310526	NULL	NULL		NULL		NULL
14685	Which open source NER Model is the best ? Comparing CoreNLP, Spacy and Flair	https://www.lighttag.io/blog/spacy-vs-stanford/	NULL	NULL		NULL		NULL
14687	Comprehensive Guide to Text Summarization using Deep Learning in Python	https://medium.com/analytics-vidhya/comprehensive-guide-to-text-summarization-using-deep-learning-in-python-6435db1d008d	NULL	NULL		NULL		NULL
14688	Natural Language Processing Using Stanford’s CoreNLP	https://towardsdatascience.com/natural-language-processing-using-stanfords-corenlp-d9e64c1e1024	NULL	NULL		NULL		NULL
14689	Pengfei Liu - Modern history for Text Summarization	http://pfliu.com/Historiography/summarization/summ-eng.html	NULL	NULL		NULL		NULL
14690	Nothing but NumPy: Understanding & Creating Binary Classification Neural Networks with Computational Graphs from Scratch	https://towardsdatascience.com/nothing-but-numpy-understanding-creating-binary-classification-neural-networks-with-e746423c8d5c	NULL	NULL		NULL		NULL
14691	Probability Learning VI: Hidden Markov Models - Towards Data Science	https://towardsdatascience.com/probability-learning-vi-hidden-markov-models-fab5c1f0a31d	NULL	NULL		NULL		NULL
14692	Probability Learning V: Naive Bayes - Towards Data Science	https://towardsdatascience.com/probability-learning-v-naive-bayes-7f1d0466f5f1	NULL	NULL		NULL		NULL
14693	Lernapparat - Machine Learning	https://lernapparat.de/fast-lstm-pytorch/	NULL	NULL		NULL		NULL
14694	RoBERTa | PyTorch	https://pytorch.org/hub/pytorch_fairseq_roberta/	NULL	NULL		NULL		NULL
14695	NLP From Scratch: Classifying Names with a Character-Level RNN — PyTorch Tutorials 1.3.1 documentation	https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html	NULL	NULL		NULL		NULL
14696	NLP From Scratch: Generating Names with a Character-Level RNN — PyTorch Tutorials 1.3.1 documentation	https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html	NULL	NULL		NULL		NULL
14698	Language Translation with TorchText — PyTorch Tutorials 1.3.1 documentation	https://pytorch.org/tutorials/beginner/torchtext_translation_tutorial.html	NULL	NULL		NULL		NULL
14699	Sequence-to-Sequence Modeling with nn.Transformer and TorchText — PyTorch Tutorials 1.3.1 documentation	https://pytorch.org/tutorials/beginner/transformer_tutorial.html	NULL	NULL		NULL		NULL
14700	Visualizing BERT embeddings with t-SNE | Kaggle	https://www.kaggle.com/mateiionita/visualizing-bert-embeddings-with-t-sne	NULL	NULL		NULL		NULL
14701	Advanced Topics in Neural Networks - Towards Data Science	https://towardsdatascience.com/advanced-topics-in-neural-networks-f27fbcc638ae	NULL	NULL		NULL		NULL
14702	Beyond Graph Convolution Networks - Towards Data Science	https://towardsdatascience.com/beyond-graph-convolution-networks-8f22c403955a	NULL	NULL		NULL		NULL
14703	Exploring the Lottery Ticket Hypothesis | Lyrn.AI	https://www.lyrn.ai/2019/07/02/exploring-the-lottery-ticket-hypothesis/	NULL	NULL		NULL		2019
14704	How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks	https://towardsdatascience.com/how-the-lottery-ticket-hypothesis-is-challenging-everything-we-knew-about-training-neural-networks-e56da4b0da27	NULL	NULL		NULL		NULL
14705	GitHub - rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch: This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks	https://github.com/rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch	NULL	NULL		NULL		NULL
14706	Understanding the generalization of ‘lottery tickets’ in neural networks	https://ai.facebook.com/blog/understanding-the-generalization-of-lottery-tickets-in-neural-networks/	NULL	NULL		NULL		NULL
14707	Lit BERT: NLP Transfer Learning In 3 Steps - Towards Data Science	https://towardsdatascience.com/lit-bert-nlp-transfer-learning-in-3-steps-272a866570db	NULL	NULL		NULL		NULL
14708	A Guide To Machine Reading Comprehension In Production With AllenNLP	https://towardsdatascience.com/a-guide-to-machine-reading-comprehension-in-production-with-allennlp-c545867bfeb1	NULL	NULL		NULL		NULL
14709	The Neural Network Lottery Ticket Hypothesis | James D. McCaffrey	https://jamesmccaffrey.wordpress.com/2019/05/30/the-neural-network-lottery-ticket-hypothesis/	NULL	NULL		NULL		NULL
14711	The Math Behind Bayes	https://www.kdnuggets.com/2019/11/math-behind-bayes.html	NULL	NULL		NULL		NULL
14712	Google T5 Explores the Limits of Transfer Learning - SyncedReview - Medium	https://medium.com/syncedreview/google-t5-explores-the-limits-of-transfer-learning-a87afbf2615b	NULL	NULL		NULL		NULL
14713	Deconstructing Lottery Ticket Hypothesis [ICLR 19'? best paper]	https://www.linkedin.com/pulse/deconstructing-lottery-ticket-hypothesis-iclr-19-best-honchar/	NULL	NULL		NULL		NULL
14714	The Lottery Ticket Hypothesis | Pillow Lab Blog	https://pillowlab.wordpress.com/2019/06/04/the-lottery-ticket-hypothesis/	NULL	NULL		NULL		2019
14715	A Two-Minute Guide To Artificial Intelligence	https://www.forbes.com/sites/parmyolson/2018/10/03/a-two-minute-guide-to-artificial-intelligence/	NULL	NULL		NULL		NULL
14716	A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time	https://jalammar.github.io/a-visual-guide-to-using-bert-for-the-first-time/	NULL	NULL		NULL		NULL
14717	What are artificial neural networks (ANN)? – TechTalks	https://bdtechtalks.com/2019/08/05/what-is-artificial-neural-network-ann/	NULL	NULL		NULL		2019
14718	Fastai with ????Transformers (BERT, RoBERTa, XLNet, XLM, DistilBERT)	https://towardsdatascience.com/fastai-with-transformers-bert-roberta-xlnet-xlm-distilbert-4f41ee18ecb2	NULL	NULL		NULL		NULL
14719	Getting Started with Automated Text Summarization	https://www.kdnuggets.com/2019/11/getting-started-automated-text-summarization.html	NULL	NULL		NULL		NULL
14720	Vega-Lite: a grammar of interactive graphics – the morning paper	https://blog.acolyer.org/2019/10/21/a-grammar-of-interactive-graphics/	NULL	NULL		NULL		2019
14721	Where did the Binary Cross-Entropy Loss Function come from?	https://towardsdatascience.com/where-did-the-binary-cross-entropy-loss-function-come-from-ac3de349a715	NULL	NULL		NULL		NULL
14722	Precision and recall — a simplified view - Towards Data Science	https://towardsdatascience.com/precision-and-recall-a-simplified-view-bc25978d81e6	NULL	NULL		NULL		NULL
14723	???????????? Encoder-decoders in Transformers: a hybrid pre-trained architecture for seq2seq	https://medium.com/huggingface/encoder-decoders-in-transformers-a-hybrid-pre-trained-architecture-for-seq2seq-af4d7bf14bb8	NULL	NULL		NULL		NULL
14724	Identifying Hate Speech with BERT and CNN - Towards Data Science	https://towardsdatascience.com/identifying-hate-speech-with-bert-and-cnn-b7aa2cddd60d	NULL	NULL		NULL		NULL
14726	Introduction	https://deepgenerativemodels.github.io/notes/introduction/	NULL	NULL		NULL		NULL
14727	Autoregressive Models	https://deepgenerativemodels.github.io/notes/autoregressive/	NULL	NULL		NULL		NULL
14728	Variational Autoencoders	https://deepgenerativemodels.github.io/notes/vae/	NULL	NULL		NULL		NULL
14729	Normalizing Flow Models	https://deepgenerativemodels.github.io/notes/flow/	NULL	NULL		NULL		NULL
14730	Generative Adversarial Networks	https://deepgenerativemodels.github.io/notes/gan/	NULL	NULL		NULL		NULL
14731	Understanding Word2vec Embedding in Practice - Towards Data Science	https://towardsdatascience.com/understanding-word2vec-embedding-in-practice-3e9b8985953	NULL	NULL		NULL		NULL
14732	Simple Transformers — Introducing The Easiest Way To Use BERT, RoBERTa, XLNet, and XLM	https://towardsdatascience.com/simple-transformers-introducing-the-easiest-bert-roberta-xlnet-and-xlm-library-58bf8c59b2a3	NULL	NULL		NULL		NULL
14733	Cosmos QA	https://wilburone.github.io/cosmos/	NULL	NULL		NULL		NULL
14735	WikiTables: Public Site	http://websail-fe.cs.northwestern.edu/TabEL/	NULL	NULL		NULL		NULL
14736		https://brohrer.github.io/what_nns_learn.html	NULL	NULL		NULL		NULL
14738	Visualizing ELMo Contextual Vectors - Towards Data Science	https://towardsdatascience.com/visualizing-elmo-contextual-vectors-94168768fdaa	NULL	NULL		NULL		NULL
14739		https://brohrer.github.io/how_optimization_works_2.html	NULL	NULL		NULL		NULL
14740		https://brohrer.github.io/how_optimization_works_3.html	NULL	NULL		NULL		NULL
14741		https://brohrer.github.io/how_optimization_works_4.html	NULL	NULL		NULL		NULL
14743	Five Questions Data Science Answers title	https://brohrer.github.io/five_questions_data_science_answers.html	NULL	NULL		NULL		NULL
14744	Extractive Text Summarization Using Neural Networks	https://heartbeat.fritz.ai/extractive-text-summarization-using-neural-networks-5845804c7701	NULL	NULL		NULL		NULL
14746	An Overview of Summarization - agolo	https://blog.agolo.com/an-overview-of-summarization-551499a144d5	NULL	NULL		NULL		NULL
14747	Quanta Magazine	https://www.quantamagazine.org/machines-beat-humans-on-a-reading-test-but-do-they-understand-20191017/	NULL	NULL		NULL		NULL
14748	Deriving the Neural Tangent Kernel | Bryn Elesedy	https://brynhayder.github.io/jekyll/update/2019/04/02/neural-tangent-kernel.html	NULL	NULL		NULL		2019
14749	Active Learning with PyTorch - PyTorch - Medium	https://medium.com/pytorch/https-medium-com-robert-munro-active-learning-with-pytorch-2f3ee8ebec	NULL	NULL		NULL		NULL
14750	403 Forbidden	https://eng.uber.com/pplm/	NULL	NULL		NULL		NULL
14751	BERT in theory - Bill Huang - Medium	https://medium.com/@yingbiao/bert-in-theory-394f382895a1	NULL	NULL		NULL		NULL
14753	Chapter 2 Getting Started | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-2-getting-started.html	NULL	NULL		NULL		NULL
14754	Preface | Data Science at the Command Line	https://www.datascienceatthecommandline.com/preface.html	NULL	NULL		NULL		NULL
14755	Chapter 1 Introduction | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-1-introduction.html	NULL	NULL		NULL		NULL
14756	Chapter 3 Obtaining Data | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-3-obtaining-data.html	NULL	NULL		NULL		NULL
14757	Chapter 4 Creating Reusable Command-line Tools | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-4-creating-reusable-command-line-tools.html	NULL	NULL		NULL		NULL
14758	Chapter 5 Scrubbing Data | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-5-scrubbing-data.html	NULL	NULL		NULL		NULL
14759	Chapter 6 Managing Your Data Workflow | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-6-managing-your-data-workflow.html	NULL	NULL		NULL		NULL
14760	Chapter 7 Exploring Data | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-7-exploring-data.html	NULL	NULL		NULL		NULL
14761	Chapter 8 Parallel Pipelines | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-8-parallel-pipelines.html	NULL	NULL		NULL		NULL
14762	Chapter 9 Modeling Data | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-9-modeling-data.html	NULL	NULL		NULL		NULL
14763	Chapter 10 Conclusion | Data Science at the Command Line	https://www.datascienceatthecommandline.com/chapter-10-conclusion.html	NULL	NULL		NULL		NULL
14764	References | Data Science at the Command Line	https://www.datascienceatthecommandline.com/references.html	NULL	NULL		NULL		NULL
14765	The Complete Hands-On Machine Learning Crash Course	https://towardsdatascience.com/the-complete-hands-on-machine-learning-crash-course-59e43c8cee52#d4e4	NULL	NULL		NULL		NULL
14766	Interpretability: Cracking open the black box – Part I – Deep & Shallow	https://deep-and-shallow.com/2019/11/13/interpretability-cracking-open-the-black-box-part-i/	NULL	NULL		NULL		2019
14767	Interpretability: Cracking open the black box – Part II – Deep & Shallow	https://deep-and-shallow.com/2019/11/16/interpretability-cracking-open-the-black-box-part-ii/	NULL	NULL		NULL		2019
14768	Interpretability: Cracking open the black box – Part III – Deep & Shallow	https://deep-and-shallow.com/2019/11/24/interpretability-cracking-open-the-black-box-part-iii/	NULL	NULL		NULL		2019
14769	Natural Language Processing — Event Extraction - Towards Data Science	https://towardsdatascience.com/natural-language-processing-event-extraction-f20d634661d3	NULL	NULL		NULL		NULL
14770	Scalable graph machine learning: a mountain we can climb?	https://medium.com/stellargraph/scalable-graph-machine-learning-a-mountain-we-can-climb-753dccc572f	NULL	NULL		NULL		NULL
14771	Machine Learning on Graphs @ NeurIPS 2019 - ML Review - Medium	https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069	NULL	NULL		NULL		NULL
14772	Teaching a computer how to play Tic Tac Toe — A Trip Report	https://medium.com/@carsten.friedrich/teaching-a-computer-to-play-tic-tac-toe-88feb838b5e3	NULL	NULL		NULL		NULL
14773	Part 1 — Computer Tic Tac Toe Basics - Carsten Friedrich - Medium	https://medium.com/@carsten.friedrich/part-1-computer-tic-tac-toe-basics-35964f92fa03	NULL	NULL		NULL		NULL
14774	Part 2 — The Min Max Algorithm - Carsten Friedrich - Medium	https://medium.com/@carsten.friedrich/part-2-the-min-max-algorithm-ae1489509660	NULL	NULL		NULL		NULL
14775	Part 3 — Tabular Q Learning, a Tic Tac Toe player that gets better and better	https://medium.com/@carsten.friedrich/part-3-tabular-q-learning-a-tic-tac-toe-player-that-gets-better-and-better-fa4da4b0892a	NULL	NULL		NULL		NULL
14776	Part 4 — Neural Network Q Learning, a Tic Tac Toe player that learns — kind of	https://medium.com/@carsten.friedrich/part-4-neural-network-q-learning-a-tic-tac-toe-player-that-learns-kind-of-2090ca4798d	NULL	NULL		NULL		NULL
14777	Part 5 — Q Network review and becoming less greedy - Carsten Friedrich - Medium	https://medium.com/@carsten.friedrich/part-5-q-network-review-and-becoming-less-greedy-64d74471206	NULL	NULL		NULL		NULL
14778	Part 6 — Double Duelling Q Network with Experience Replay	https://medium.com/@carsten.friedrich/part-6-double-duelling-q-network-with-experience-replay-8875b14586e7	NULL	NULL		NULL		NULL
14779	Part 7 — This is deep. In a convoluted way. - Carsten Friedrich - Medium	https://medium.com/@carsten.friedrich/part-7-this-is-deep-in-a-convoluted-way-f56124cdd64b	NULL	NULL		NULL		NULL
14780	Part 8 — Tic Tac Toe with Policy Gradient Descent - Carsten Friedrich - Medium	https://medium.com/@carsten.friedrich/part-8-tic-tac-toe-with-policy-gradient-descent-da2496defc45	NULL	NULL		NULL		NULL
14782	The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time	http://jalammar.github.io/illustrated-bert/	NULL	NULL		NULL		NULL
14783	BERT Fine-Tuning Tutorial with PyTorch · Chris McCormick	http://mccormickml.com/2019/07/22/BERT-fine-tuning/	NULL	NULL		NULL		2019
14785	Introducing long-form question answering	https://ai.facebook.com/blog/longform-qa/	NULL	NULL		NULL		NULL
14787	AllenNLP the Hard Way – Part 0 - Setup – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-0/	NULL	NULL		NULL		NULL
14788	AllenNLP the Hard Way – Part 1 - Building a Dataset Reader – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-1/	NULL	NULL		NULL		NULL
14789	AllenNLP the Hard Way – Part 2 - Building a Baseline Model – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-2/	NULL	NULL		NULL		NULL
14790	AllenNLP the Hard Way – Part 3 - Configuring Experiments – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-3/	NULL	NULL		NULL		NULL
14791	AllenNLP the Hard Way – Part 4 - Tackling Your Own Experiments – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-4/	NULL	NULL		NULL		NULL
14792	A Hands-On Guide To Text Classification With Transformer Models (XLNet, BERT, XLM, RoBERTa)	https://towardsdatascience.com/https-medium-com-chaturangarajapakshe-text-classification-with-transformer-models-d370944b50ca?	NULL	NULL		NULL		NULL
14793		https://modelzoo.co/model/pytorch-pretrained-bert	NULL	NULL		NULL		NULL
14794	Google’s BERT changing the NLP Landscape - Sciforce - Medium	https://medium.com/sciforce/googles-bert-changing-the-nlp-landscape-5f4a7bf65cc5	NULL	NULL		NULL		NULL
14795	An Exhaustive Guide to Detecting Neural Fake News using NLP	https://www.analyticsvidhya.com/blog/2019/12/detect-fight-neural-fake-news-nlp	NULL	NULL		NULL		2019
14796	A Comprehensive Guide to Attention Mechanism in Deep Learning	https://www.analyticsvidhya.com/blog/2019/11/comprehensive-guide-attention-mechanism-deep-learning	NULL	NULL		NULL		2019
14797	Automatic Text Summarization in a Nutshell	https://www.kdnuggets.com/2019/12/automatic-text-summarization-nutshell.html	NULL	NULL		NULL		NULL
14798	A Quick Introduction to NLP - Data Driven Investor - Medium	https://medium.com/datadriveninvestor/a-quick-introduction-to-nlp-e093c2f70dee	NULL	NULL		NULL		NULL
14799	Introduction to Information Extraction Using Python and spaCy	https://www.analyticsvidhya.com/blog/2019/09/introduction-information-extraction-python-spacy/	NULL	NULL		NULL		2019
14800	Language Models and Contextualised Word Embeddings	http://www.davidsbatista.net/blog/2018/12/06/Word_Embeddings/	NULL	NULL		NULL		NULL
14801	Named-Entity Recognition based on Neural Networks	http://www.davidsbatista.net/blog/2018/10/22/Neural-NER-Systems/	NULL	NULL		NULL		NULL
14802	Convolutional Neural Networks for Text Classification	http://www.davidsbatista.net/blog/2018/03/31/SentenceClassificationConvNets/	NULL	NULL		NULL		NULL
14803	Conditional Random Fields for Sequence Prediction	http://www.davidsbatista.net/blog/2017/11/13/Conditional_Random_Fields/	NULL	NULL		NULL		NULL
14804	Maximum Entropy Markov Models and Logistic Regression	http://www.davidsbatista.net/blog/2017/11/12/Maximum_Entropy_Markov_Model/	NULL	NULL		NULL		NULL
14805	Google's SyntaxNet in Python NLTK	http://www.davidsbatista.net/blog/2017/03/25/syntaxnet/	NULL	NULL		NULL		NULL
14806	Build your first chatbot using Python NLTK - Towards Data Science	https://towardsdatascience.com/build-your-first-chatbot-using-python-nltk-5d07b027e727	NULL	NULL		NULL		NULL
14807	Dana C. Ernst	https://danaernst.com/resources/free-and-open-source-textbooks/	NULL	NULL		NULL		NULL
14808	Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs) | Vinod Sharma's Blog	https://vinodsblog.com/2018/11/23/generative-adversarial-networks-gans-the-basics-you-need-to-know/	NULL	NULL		NULL		2018
14809	Diversity in AI is not your problem, it’s hers - Robert Munro - Medium	https://medium.com/@robert.munro/bias-in-ai-3ea569f79d6a	NULL	NULL		NULL		NULL
14810	VizSeq: A visual analysis toolkit for text generation research	https://ai.facebook.com/blog/vizseq-a-visual-analysis-toolkit-for-accelerating-text-generation-research/	NULL	NULL		NULL		NULL
14812	Introducing LIGHT: A multiplayer text adventure game for dialogue research	https://ai.facebook.com/blog/introducing-light-a-multiplayer-text-adventure-game-for-dialogue-research/	NULL	NULL		NULL		NULL
14813	WikiMatrix: Bitext extraction of 135 million Wikipedia sentences	https://ai.facebook.com/blog/wikimatrix/	NULL	NULL		NULL		NULL
14814	Deep learning and machine learning - Towards Data Science	https://towardsdatascience.com/deep-learning-and-machine-learning-c1101debe0c	NULL	NULL		NULL		NULL
14815	Language Model: A Survey of the State-of-the-Art Technology	https://medium.com/syncedreview/language-model-a-survey-of-the-state-of-the-art-technology-64d1a2e5a466	NULL	NULL		NULL		NULL
14816	The State of Machine Learning Frameworks in 2019	https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/	NULL	NULL		NULL		2019
14817	sotabench: Benchmarking Every Open Source Model	https://sotabench.com/	NULL	NULL		NULL		NULL
14819	GitHub - deepmind/mathematics_dataset: This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.	https://github.com/deepmind/mathematics_dataset	NULL	NULL		NULL		NULL
14820	Introduction. — ProbLog: Probabilistic Programming	https://dtai.cs.kuleuven.be/problog/index.html	NULL	NULL		NULL		NULL
14821	Gradient Descent - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/gradient-descent	NULL	NULL		NULL		NULL
14822	Accuracy and Loss - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/accuracy-and-loss	NULL	NULL		NULL		NULL
14823	Activation Function - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/activation-function	NULL	NULL		NULL		NULL
14824	Artificial General Intelligence (AGI) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/artificial-general-intelligence-agi	NULL	NULL		NULL		NULL
14825	AUC (Area under the ROC Curve) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/auc-area-under-the-roc-curve	NULL	NULL		NULL		NULL
14826	Automated Machine Learning (AutoML) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/automl	NULL	NULL		NULL		NULL
14827	Confusion Matrix - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/confusion-matrix	NULL	NULL		NULL		NULL
14829	Convolutional Neural Network (CNN) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/convolutional-neural-network-cnn	NULL	NULL		NULL		NULL
14830	Generative Adversarial Network (GAN) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/generative-adversarial-network-gan	NULL	NULL		NULL		NULL
14831	Epochs, Batch Size, & Iterations - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/epoch	NULL	NULL		NULL		NULL
14832	Features, Feature Engineering, & Feature Stores - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/features-feature-engineering-and-feature-stores	NULL	NULL		NULL		NULL
14834	Hyperparameter Optimization - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/hyperparameter-optimization	NULL	NULL		NULL		NULL
14835	Interpretability - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/interpretability	NULL	NULL		NULL		NULL
14836	Linear Regression - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/linear-regression	NULL	NULL		NULL		NULL
14837	Logistic Regression - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/logistic-regression	NULL	NULL		NULL		NULL
14838	Long Short-Term Memory (LSTM) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/long-short-term-memory-lstm	NULL	NULL		NULL		NULL
14839	Metrics in Machine Learning - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/metrics-in-machine-learning	NULL	NULL		NULL		NULL
14840	Model Training - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/model-training	NULL	NULL		NULL		NULL
14841	MNIST - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/mnist	NULL	NULL		NULL		NULL
14842	Overfitting vs Underfitting - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/overfitting-vs-underfitting	NULL	NULL		NULL		NULL
14843	Random Forest - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/random-forest	NULL	NULL		NULL		NULL
14844	Recurrent Neural Network (RNN) - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/recurrent-neural-network-rnn	NULL	NULL		NULL		NULL
14845	Reproducibility in Machine Learning - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/reproducibility-in-machine-learning	NULL	NULL		NULL		NULL
14846	Synthetic Data - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/synthetic-data	NULL	NULL		NULL		NULL
14847	Structured vs Unstructured Data - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/structured-vs-unstructured-data	NULL	NULL		NULL		NULL
14848	Supervised, Unsupervised, & Reinforcement Learning - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/supervised-unsupervised-and-reinforcement-learning	NULL	NULL		NULL		NULL
14849	Transfer Learning - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/transfer-learning	NULL	NULL		NULL		NULL
14850	Weights and Biases - AI Wiki	https://docs.paperspace.com/machine-learning/wiki/weights-and-biases	NULL	NULL		NULL		NULL
14851	Complete List of the Important Breakthrough Frameworks in NLP	https://www.analyticsvidhya.com/blog/2019/08/complete-list-important-frameworks-nlp/	NULL	NULL		NULL		2019
14852	How to add machine learning-powered text summarization to any project	https://towardsdatascience.com/how-to-add-machine-learning-powered-text-summarization-to-any-project-d42421a21c41	NULL	NULL		NULL		NULL
14853	Illustrated: Self-Attention - Towards Data Science	https://towardsdatascience.com/illustrated-self-attention-2d627e33b20a	NULL	NULL		NULL		NULL
14855	An Intro to Artificial Intelligence - Good Audience	https://blog.goodaudience.com/an-intro-to-artificial-intelligence-c4dc97baae47	NULL	NULL		NULL		NULL
14856	Machine Translation Today - UTMIST - Medium	https://medium.com/@utorontomist/machine-translation-today-78dd8bd1158c	NULL	NULL		NULL		NULL
14858	Intuitive Deep Learning Part 2: CNNs for Computer Vision	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-part-2-cnns-for-computer-vision-24992d050a27	NULL	NULL		NULL		NULL
14859	Intuitive Deep Learning Part 1a: Introduction to Neural Networks	https://towardsdatascience.com/intuitive-deep-learning-part-1a-introduction-to-neural-networks-aaeb3a1500df	NULL	NULL		NULL		NULL
14860	Intuitive Deep Learning Part 1b: Introduction to Neural Networks	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-part-1b-introduction-to-neural-networks-8565d97ddd2d	NULL	NULL		NULL		NULL
14861	Intuitive Deep Learning Part 4: Deep Reinforcement Learning	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-part-4-deep-reinforcement-learning-d3b57f246bd8	NULL	NULL		NULL		NULL
14862	Autoencoders: Neural Networks for Unsupervised Learning	https://medium.com/intuitive-deep-learning/autoencoders-neural-networks-for-unsupervised-learning-83af5f092f0b	NULL	NULL		NULL		NULL
14863	Intuitive Deep Learning Part 3: RNNs for Natural Language Processing	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-part-3-rnns-for-natural-language-processing-4f4b0bcbee80	NULL	NULL		NULL		NULL
14864	Intuitive Deep Learning Part 1a: Introduction to Neural Networks	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-part-1a-introduction-to-neural-networks-d7b16ebf6b99	NULL	NULL		NULL		NULL
14865	About Intuitive Deep Learning - Intuitive Deep Learning - Medium	https://medium.com/intuitive-deep-learning/intuitive-deep-learning-introduction-de0e03327654	NULL	NULL		NULL		NULL
14866	GPT-2 Neural Network Poetry - Gwern.net	https://www.gwern.net/GPT-2	NULL	NULL		NULL		NULL
14867	Attention and its Different Forms - Towards Data Science	https://towardsdatascience.com/attention-and-its-different-forms-7fc3674d14dc	NULL	NULL		NULL		NULL
14868	All you need to know about NLP Text Preprocessing	https://gdcoder.com/all-you-need-to-know-about-nlp-text-preprocessing/	NULL	NULL		NULL		2019
14869	What is an Embedding Layer?	https://gdcoder.com/what-is-an-embedding-layer/	NULL	NULL		NULL		2019
14871	What is a Recurrent Neural Networks (RNNS) and Gated Recurrent Unit (GRUS)	https://gdcoder.com/what-is-a-recurrent-neural-networks-rnns-and-gated-recurrent-unit-grus/	NULL	NULL		NULL		2019
14872	Deep Learning for NLP Best Practices	https://ruder.io/deep-learning-nlp-best-practices/	NULL	NULL		NULL		2017
14873	What is reinforcement learning? – TechTalks	https://bdtechtalks.com/2019/05/28/what-is-reinforcement-learning/	NULL	NULL		NULL		2019
14874	What is transfer learning? – TechTalks	https://bdtechtalks.com/2019/06/10/what-is-transfer-learning/	NULL	NULL		NULL		2019
14875	Best Practices for NLP Classification in TensorFlow 2.0	https://towardsdatascience.com/best-practices-for-nlp-classification-in-tensorflow-2-0-a5a3d43b7b73	NULL	NULL		NULL		NULL
14876	403 Forbidden	http://datahacker.rs/neural-networks-representation/	NULL	NULL		NULL		NULL
14877	Question Answering with BERT, XLNET, XLM, and DistilBERT using Simple Transformers	https://towardsdatascience.com/question-answering-with-bert-xlnet-xlm-and-distilbert-using-simple-transformers-4d8785ee762a	NULL	NULL		NULL		NULL
14878	Understanding text with BERT	https://blog.scaleway.com/2019/understanding-text-with-bert/	NULL	NULL		NULL		2019
14879	Intro to Adversarial Machine Learning and Generative Adversarial Networks	https://www.kdnuggets.com/2019/10/adversarial-machine-learning-generative-adversarial-networks.html	NULL	NULL		NULL		NULL
14880	The math behind GANs (Generative Adversarial Networks)	https://towardsdatascience.com/the-math-behind-gans-generative-adversarial-networks-3828f3469d9c	NULL	NULL		NULL		NULL
14881	Knowledge Graph Creation: Part I - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/knowledge-graph-creation-part-i-27c7c13c2560	NULL	NULL		NULL		NULL
14882	Knowledge Graphs: An Overview - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/knowledge-graphs-an-overview-2d0d250dd3b9	NULL	NULL		NULL		NULL
14883	Introduction to Graphs - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/introduction-to-graphs-44c4356212c7	NULL	NULL		NULL		NULL
14884	Ontologies: In Detail - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/ontologies-in-detail-2916f9226133	NULL	NULL		NULL		NULL
14885	Ontologies: An Overview - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/ontologies-an-overview-b23ccc7e976	NULL	NULL		NULL		NULL
14886	A Brief Look at Graph Databases - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/a-brief-look-at-graph-databases-d65b00f9c349	NULL	NULL		NULL		NULL
14887	Introduction to Graph Analytics - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/introduction-to-graph-analytics-796cbb3c9cd9	NULL	NULL		NULL		NULL
14888	Knowledge Graph Creation: Part II - Analytics Vidhya - Medium	https://medium.com/analytics-vidhya/knowledge-graph-creation-part-ii-675fa480773a	NULL	NULL		NULL		NULL
14889	The Winograd Schema Challenge	https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html	NULL	NULL		NULL		NULL
14891		http://www.csi.uottawa.ca/tanka/files/complexities.html	NULL	NULL		NULL		NULL
14892	What Are Convolution Neural Networks? [ELI5] - By NiranjanKumar	https://hackernoon.com/-understanding-convolution-neural-networks-cnn-the-eli5-way-photo-by-efe-kurnaz-on-unsplash-u-pa1i327j	NULL	NULL		NULL		NULL
14893	Getting Started With Pytorch In Google Collab With Free GPU - By NiranjanKumar	https://hackernoon.com/getting-started-with-pytorch-in-google-collab-with-free-gpu-61a5c70b86a	NULL	NULL		NULL		NULL
14894	Getting Started With Pytorch In Google Collab With Free GPU	https://medium.com/hackernoon/getting-started-with-pytorch-in-google-collab-with-free-gpu-61a5c70b86a	NULL	NULL		NULL		NULL
14896	SimpleRepresentations: BERT, RoBERTa, XLM, XLNet and DistilBERT Features for Any NLP Task	https://medium.com/swlh/simplerepresentations-bert-roberta-xlm-xlnet-and-distilbert-features-for-any-nlp-task-468b5ceb6f0e	NULL	NULL		NULL		NULL
14897	Speech Recognition — Kaldi - Jonathan Hui - Medium	https://medium.com/@jonathan_hui/speech-recognition-kaldi-35fec0320496	NULL	NULL		NULL		NULL
14898	Generating Words from Embeddings – Rajat's Blog – A blog about machine learning and math.	https://rajatvd.github.io/Generating-Words-From-Embeddings/	NULL	NULL		NULL		NULL
14899	spaCy meets Transformers: Fine-tune BERT, XLNet and GPT-2 · Blog · Explosion	https://explosion.ai/blog/spacy-transformers	NULL	NULL		NULL		2019
14900	BERT Explained: A Complete Guide with Theory and Tutorial – Towards Machine Learning	https://towardsml.com/2019/09/17/bert-explained-a-complete-guide-with-theory-and-tutorial/	NULL	NULL		NULL		2019
14901	the-incredible-pytorch | The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.	https://www.ritchieng.com/the-incredible-pytorch	NULL	NULL		NULL		NULL
14902	Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition	https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc	NULL	NULL		NULL		NULL
14903	Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found	https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78	NULL	NULL		NULL		NULL
14904	GitHub - jessevig/bertviz: Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)	https://github.com/jessevig/bertviz	NULL	NULL		NULL		NULL
14905	PyTorch Tutorial | Developing Deep Learning Models Using PyTorch | Edureka	https://www.edureka.co/blog/pytorch-tutorial/	NULL	NULL		NULL		NULL
14906	A Beginner's Guide to Attention Mechanisms and Memory Networks | Pathmind	https://pathmind.com/wiki/attention-mechanism-memory-network	NULL	NULL		NULL		NULL
14907	A Technical Overview of Data Science, Machine Learning & Deep Learning	https://www.analyticsvidhya.com/blog/2019/12/2020-trends-machine-learning-deep-learning	NULL	NULL		NULL		2019
14908	    Language, Context, and Geometry in Neural Networks  	https://pair-code.github.io/interpretability/context-atlas/blogpost/	NULL	NULL		NULL		NULL
14911	the-incredible-pytorch | The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.	https://www.ritchieng.com/the-incredible-pytorch/	NULL	NULL		NULL		NULL
14912	Text Classification with TorchText — PyTorch Tutorials 1.3.1 documentation	https://pytorch.org/tutorials/beginner/text_sentiment_ngrams_tutorial.html	NULL	NULL		NULL		NULL
14913	Pytorch Introduction - How to Build Quick and Accurate Neural Networks	https://www.analyticsvidhya.com/blog/2019/01/guide-pytorch-neural-networks-case-studies/	NULL	NULL		NULL		2019
14914	Deep Learning Indaba, EurNLP, ML echo chamber, Pretrained LMs, Reproducibility papers | Revue	http://newsletter.ruder.io/issues/deep-learning-indaba-eurnlp-ml-echo-chamber-pretrained-lms-reproducibility-papers-199557	NULL	NULL		NULL		2019
14915	Evolution of Representations in the Transformer	https://lena-voita.github.io/posts/emnlp19_evolution.html	NULL	NULL		NULL		NULL
14916	Current Issues with Transfer Learning in NLP - Khalifa's Blog	https://mohammadkhalifa.github.io/2019/09/06/Issues-With-Transfer-Learning-in-NLP	NULL	NULL		NULL		NULL
16589	Django + Chart.js // Learn to intergrate Chart.js with Django - YouTube	https://www.youtube.com/watch?v=B4Vmm3yZPgc	NULL	NULL		NULL		2019
16618	Understanding LSTM Networks -- colah's blog	https://colah.github.io/posts/2015-08-Understanding-LSTMs/	NULL	NULL		NULL		2019
17569	Natural Language Technologies in 2019 | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/natural-language-technologies-in-2019-1bd95a992aa	NULL	NULL		NULL		2019
17570	NLP and Computer Vision Integrated | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/nlp-and-computer-vision-integrated-843558143e01	NULL	NULL		NULL		2019
17571	NLP for Low-Resource Settings. Natural language processing (NLP) is a... | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/nlp-for-low-resource-settings-52e199779a79	NULL	NULL		NULL		2019
17572	403 Forbidden	https://www.topbots.com/ai-nlp-research-big-language-models/	NULL	NULL		NULL		2019
17573	https://blog.fastforwardlabs.com/2016/08/22/under-the-hood-of-the-variational-autoencoder-in-prose-and-code.html	https://blog.fastforwardlabs.com/2016/08/22/under-the-hood-of-the-variational-autoencoder-in.html	NULL	NULL		NULL		2019
17574	On word embeddings - Part 1	https://ruder.io/word-embeddings-1/index.html	NULL	NULL		NULL		2016
17575	An Introductory Guide to NLP for Data Scientists with 7 Common Techniques	https://www.kdnuggets.com/2020/01/intro-guide-nlp-data-scientists.html	NULL	NULL		NULL		2019
17576	CNN Tutorial | Tutorial On Convolutional Neural Networks	https://www.analyticsvidhya.com/blog/2018/12/guide-convolutional-neural-network-cnn/	NULL	NULL		NULL		2018
17579	State of the Graph: Knowledge Graphs Emerge As First Killer App	https://www.linkedin.com/pulse/state-graph-knowledge-graphs-emerge-first-killer-app-kurt-cagle/	NULL	NULL		NULL		2019
17580	Self-supervised learning and computer vision · fast.ai	https://www.fast.ai/2020/01/13/self_supervised/	NULL	NULL		NULL		2019
17582	A Sober Look at Bayesian Neural Networks	https://jacobbuckman.com/2020-01-17-a-sober-look-at-bayesian-neural-networks	NULL	NULL		NULL		2019
17583	Linear, Ridge and Lasso Regression comprehensive guide for beginners	https://www.analyticsvidhya.com/blog/2017/06/a-comprehensive-guide-for-linear-ridge-and-lasso-regression/	NULL	NULL		NULL		2017
17584	How To Build Logistic Regression Model In R	https://www.analyticsvidhya.com/blog/2015/10/basics-logistic-regression/	NULL	NULL		NULL		2015
17585	Deep Learning – Introduction to Recurrent Neural Networks | Vinod Sharma's Blog	https://vinodsblog.com/2019/01/07/deep-learning-introduction-to-recurrent-neural-networks/	NULL	NULL		NULL		2019
17586	Pretrained-Language-Model/TinyBERT at master · huawei-noah/Pretrained-Language-Model · GitHub	https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT	NULL	NULL		NULL		2019
17588	Data project checklist · fast.ai	https://www.fast.ai/2020/01/07/data-questionnaire/	NULL	NULL		NULL		2019
17589	NumPy: the absolute basics for beginners — NumPy v1.20.dev0 Manual	https://numpy.org/devdocs/user/absolute_beginners.html	NULL	NULL		NULL		2019
17590	Text-to-Text Transfer Transformer | by Edward Ma | DataSeries | Medium	https://medium.com/dataseries/text-to-text-transfer-transformer-e35dc28bae14	NULL	NULL		NULL		2019
17591	A Gentle Introduction to Graph Embeddings | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/a-gentle-introduction-to-graph-embeddings-c7b3d1db0fa8	NULL	NULL		NULL		2019
17592	A Lite BERT for Reducing Inference Time | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/a-lite-bert-for-reducing-inference-time-bed8d990daac	NULL	NULL		NULL		2019
17593	A Controllable Framework for Text Generation — CTRL | by Edward Ma | DataSeries | Medium	https://medium.com/dataseries/a-controllable-framework-for-text-generation-8be9e1f2c5db	NULL	NULL		NULL		2019
17594	Why does XLNet outperform BERT?. State-of-the-art NLP Model — XLNet | by Edward Ma | DataSeries | Medium	https://medium.com/dataseries/why-does-xlnet-outperform-bert-da98a8503d5b	NULL	NULL		NULL		2019
17595	Contextual Embeddings for NLP Sequence Labeling | by Edward Ma | Towards Data Science	https://towardsdatascience.com/contextual-embeddings-for-nlp-sequence-labeling-9a92ba5a6cf0	NULL	NULL		NULL		2019
17597	Generative Adversarial Networks; an Overview | AISC Blog	https://aisc.ai.science/super-blog/gan-2019	NULL	NULL		NULL		2019
17598	GitHub - pbiecek/xai_resources: Interesting resources related to XAI (Explainable Artificial Intelligence)	https://github.com/pbiecek/xai_resources	NULL	NULL		NULL		2019
17599	Text Classification Pytorch | Build Text Classification Model	https://www.analyticsvidhya.com/blog/2020/01/first-text-classification-in-pytorch/	NULL	NULL		NULL		2020
17600	Natural Language Processing: Count Vectorization with scikit-learn | by Hunter Heidenreich | Towards Data Science	https://towardsdatascience.com/natural-language-processing-count-vectorization-with-scikit-learn-e7804269bb5e	NULL	NULL		NULL		2019
17602	Generating Natural-Language Text with Neural Networks | by Jonathan Mugan | Noteworthy - The Journal Blog	https://blog.usejournal.com/generating-natural-language-text-with-neural-networks-e983bb48caad	NULL	NULL		NULL		2019
17604	Introduction to Linear Regression | by Neal A. Akyildirim | Towards Data Science	https://towardsdatascience.com/introduction-to-linear-regression-141cde7a46b2	NULL	NULL		NULL		2019
17605	Notes on elementary graph algorithms. Part 1: Breadth-first search | by Aaron Wong | Medium	https://medium.com/@aaronwong_65108/notes-on-elementary-graph-algorithms-part-1-breadth-first-search-8544404cde59	NULL	NULL		NULL		2019
17606	403 Forbidden	https://machinelearningmastery.com/how-to-choose-loss-functions-when-training-deep-learning-neural-networks/	NULL	NULL		NULL		2019
17607	Loss Function | Loss Function In Machine Learning	https://www.analyticsvidhya.com/blog/2019/08/detailed-guide-7-loss-functions-machine-learning-python-code/	NULL	NULL		NULL		2019
17608	PanLex API documentation | PanLex development	https://dev.panlex.org/api/	NULL	NULL		NULL		2019
17610	Not Acceptable!	https://sebastianraschka.com/faq/docs/parametric_vs_nonparametric.html	NULL	NULL		NULL		2019
17611	Not Acceptable!	https://sebastianraschka.com/faq/docs/classifier-history.html	NULL	NULL		NULL		2019
17612	Not Acceptable!	https://sebastianraschka.com/faq/docs/best-ml-algo.html	NULL	NULL		NULL		2019
17613	Not Acceptable!	https://sebastianraschka.com/faq/docs/covariance-vs-correlation.html	NULL	NULL		NULL		2019
17614	Not Acceptable!	https://sebastianraschka.com/faq/docs/overfitting.html	NULL	NULL		NULL		2019
17615	Not Acceptable!	https://sebastianraschka.com/faq/docs/select_svm_kernels.html	NULL	NULL		NULL		2019
17616	Not Acceptable!	https://sebastianraschka.com/faq/docs/neuralnet-error.html	NULL	NULL		NULL		2019
17617	Not Acceptable!	https://sebastianraschka.com/faq/docs/nnet-debugging-checklist.html	NULL	NULL		NULL		2019
17618	PanLinx	https://apps.panlex.org/panlinx/	NULL	NULL		NULL		2019
17620	PanLex Translator | PanLex development	https://dev.panlex.org/panlex-translator/	NULL	NULL		NULL		2019
17621	lang2vec · PyPI	https://pypi.org/project/lang2vec/	NULL	NULL		NULL		2019
17622	Pytorchnlpbook	https://awesomeopensource.com/project/joosthub/PyTorchNLPBook	NULL	NULL		NULL		2019
17623	Practical Machine Learning With Python	https://awesomeopensource.com/project/dipanjanS/practical-machine-learning-with-python	NULL	NULL		NULL		2019
17624	Not Acceptable!	https://sebastianraschka.com/faq/docs/euclidean-distance.html	NULL	NULL		NULL		2019
17625	Not Acceptable!	https://sebastianraschka.com/faq/docs/diff-perceptron-adaline-neuralnet.html	NULL	NULL		NULL		2019
17626	Not Acceptable!	https://sebastianraschka.com/faq/docs/dropout.html	NULL	NULL		NULL		2019
17627	Not Acceptable!	https://sebastianraschka.com/faq/docs/tanh-sigmoid-relationship.html	NULL	NULL		NULL		2019
17629	Not Acceptable!	https://sebastianraschka.com/faq/docs/naive-naive-bayes.html	NULL	NULL		NULL		2019
17631	Intuitively Understanding Variational Autoencoders | by Irhum Shafkat | Towards Data Science	https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf	NULL	NULL		NULL		2019
17632	Intro to Machine Learning and AI based on high school knowledge	https://www.kdnuggets.com/2020/02/intro-machine-learning-ai.html	NULL	NULL		NULL		2019
17633	Deep Learning | Ismail Mebsout	https://www.ismailmebsout.com/deep-learning/	NULL	NULL		NULL		2019
17634	Graph Neural Networks - An overview | AI Summer	https://theaisummer.com/Graph_Neural_Networks/	NULL	NULL		NULL		2019
17636	403 Forbidden	http://datahacker.rs/shallow-neural-network/	NULL	NULL		NULL		2019
17637	403 Forbidden	http://datahacker.rs/001-introduction-to-deep-learning/	NULL	NULL		NULL		2019
17638	403 Forbidden	http://datahacker.rs/001-introduction-to-deep-learning-2/	NULL	NULL		NULL		2019
17639	403 Forbidden	http://datahacker.rs/binary-classification/	NULL	NULL		NULL		2019
17640	403 Forbidden	http://datahacker.rs/image-representation-in-a-computer/	NULL	NULL		NULL		2019
17641	403 Forbidden	http://datahacker.rs/003-logistic-regression-cost-function-2/	NULL	NULL		NULL		2019
17642	403 Forbidden	http://datahacker.rs/003b-gradient-descent/	NULL	NULL		NULL		2019
17643	403 Forbidden	http://datahacker.rs/003b-gradient-descent-in-python/	NULL	NULL		NULL		2019
17644	403 Forbidden	http://datahacker.rs/004a-computation-graph/	NULL	NULL		NULL		2019
17645	403 Forbidden	http://datahacker.rs/004-computation-graph-2/	NULL	NULL		NULL		2019
17646	403 Forbidden	http://datahacker.rs/005a_logistic-regression-from-scratch/	NULL	NULL		NULL		2019
17647	403 Forbidden	http://datahacker.rs/logistic-regression-from-scratch-vs-scikit-learn/	NULL	NULL		NULL		2019
17648	403 Forbidden	http://datahacker.rs/006a-vectorizing-logistic-regression/	NULL	NULL		NULL		2019
17649	403 Forbidden	http://datahacker.rs/006b-vectorization-optional/	NULL	NULL		NULL		2019
17650	403 Forbidden	http://datahacker.rs/shallow_neural_network/	NULL	NULL		NULL		2019
17651	403 Forbidden	http://datahacker.rs/activation-functions-and-their-derivatives/	NULL	NULL		NULL		2019
17652	403 Forbidden	http://datahacker.rs/gradient-descent-for-neural-networks/	NULL	NULL		NULL		2019
17653	403 Forbidden	http://datahacker.rs/010-b-how-to-train-a-shallow-neural-network-with-a-gradient-desecent/	NULL	NULL		NULL		2019
17654	403 Forbidden	http://datahacker.rs/random-initialization-of-parameters-in-neural-network/	NULL	NULL		NULL		2019
17655	403 Forbidden	http://datahacker.rs/deep-l-layer-neural-network/	NULL	NULL		NULL		2019
17656	403 Forbidden	http://datahacker.rs/building-a-deep-neural-network/	NULL	NULL		NULL		2019
17657	403 Forbidden	http://datahacker.rs/012-b-building-a-deep-neural-network-from-scratch-in-python/	NULL	NULL		NULL		2019
17658	403 Forbidden	http://datahacker.rs/001-cnn-convolutional-neural-networks/	NULL	NULL		NULL		2019
17659	403 Forbidden	http://datahacker.rs/002-cnn-edge-detection/	NULL	NULL		NULL		2019
17660	403 Forbidden	http://datahacker.rs/003-cnn-more-on-edge-detection/	NULL	NULL		NULL		2019
17661	403 Forbidden	http://datahacker.rs/004-cnn-padding/	NULL	NULL		NULL		2019
17662	403 Forbidden	http://datahacker.rs/005-cnn-stried-convolution/	NULL	NULL		NULL		2019
17663	403 Forbidden	http://datahacker.rs/006-cnn-convolution-on-rgb-images/	NULL	NULL		NULL		2019
17664	403 Forbidden	http://datahacker.rs/007-cnn-one-layer-of-a-covolutional-neural-network/	NULL	NULL		NULL		2019
17665	403 Forbidden	http://datahacker.rs/008-cnn-an-example-of-a-convolutional-neural-network/	NULL	NULL		NULL		2019
17666	403 Forbidden	http://datahacker.rs/009-cnn-polling-layers/	NULL	NULL		NULL		2019
17667	403 Forbidden	http://datahacker.rs/010-cnn-an-example-of-a-neural-network/	NULL	NULL		NULL		2019
17668	403 Forbidden	http://datahacker.rs/011-cnn-why-convolutions/	NULL	NULL		NULL		2019
17670	403 Forbidden	http://datahacker.rs/013-cnn-latex-lenetenspace-enspace5/	NULL	NULL		NULL		2019
17671	403 Forbidden	http://datahacker.rs/013-b-alexnet/	NULL	NULL		NULL		2019
17672	403 Forbidden	http://datahacker.rs/013-c-cnn-vgg-16-and-vgg-19/	NULL	NULL		NULL		2019
17673	403 Forbidden	http://datahacker.rs/014-cnn-residual-nets/	NULL	NULL		NULL		2019
17674	403 Forbidden	http://datahacker.rs/015-cnn-why-resnets-work/	NULL	NULL		NULL		2019
17675	403 Forbidden	http://datahacker.rs/016-cnn-network-in-network-1x1-convolutions/	NULL	NULL		NULL		2019
17676	403 Forbidden	http://datahacker.rs/017-inception-network/	NULL	NULL		NULL		2019
17677	403 Forbidden	http://datahacker.rs/018-cnn-inception-network/	NULL	NULL		NULL		2019
17678	403 Forbidden	http://datahacker.rs/019-cnn-transfer-learning/	NULL	NULL		NULL		2019
17679	403 Forbidden	http://datahacker.rs/020-cnn-data-augmentations/	NULL	NULL		NULL		2019
17680	403 Forbidden	http://datahacker.rs/021-object-localization/	NULL	NULL		NULL		2019
17681	403 Forbidden	http://datahacker.rs/022-cnn-landmark-detection/	NULL	NULL		NULL		2019
17682	403 Forbidden	http://datahacker.rs/023-cnn-object-detection/	NULL	NULL		NULL		2019
17683	403 Forbidden	http://datahacker.rs/024-convolutional-operation-of-sliding-windows/	NULL	NULL		NULL		2019
17684	403 Forbidden	http://datahacker.rs/025-cnn/	NULL	NULL		NULL		2019
17685	403 Forbidden	http://datahacker.rs/026-cnn-intersection-over-union/	NULL	NULL		NULL		2019
17686	403 Forbidden	http://datahacker.rs/027-cnn-non-max-suppression/	NULL	NULL		NULL		2019
17687	403 Forbidden	http://datahacker.rs/028-anchor-boxes/	NULL	NULL		NULL		2019
17688	403 Forbidden	http://datahacker.rs/yolo-algorithm/	NULL	NULL		NULL		2019
17689	403 Forbidden	http://datahacker.rs/030-cnn-one-shot-learning/	NULL	NULL		NULL		2019
17690	403 Forbidden	http://datahacker.rs/031-siamese-network/	NULL	NULL		NULL		2019
17691	403 Forbidden	http://datahacker.rs/032-cnn-triplet-loss/	NULL	NULL		NULL		2019
17692	403 Forbidden	http://datahacker.rs/tensorflow-introduction/	NULL	NULL		NULL		2019
17693	403 Forbidden	http://datahacker.rs/tensorflow-introduction-2/	NULL	NULL		NULL		2019
17694	403 Forbidden	http://datahacker.rs/003-d-tf-gradient-descent-in-tensorflow/	NULL	NULL		NULL		2019
17695	A Newbie’s Guide to Stochastic Gradient Descent With Restarts | by Chi-Feng Wang | Towards Data Science	https://towardsdatascience.com/https-medium-com-reina-wang-tw-stochastic-gradient-descent-with-restarts-5f511975163	NULL	NULL		NULL		2019
17696	Production Machine Learning Pipeline for Text Classification with fastText	https://blog.valohai.com/production-machine-learning-pipeline-text-classification-fasttext	NULL	NULL		NULL		2019
17698	Random Walk in Node Embeddings (DeepWalk, node2vec, LINE, and GraphSAGE) | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/random-walk-in-node-embeddings-deepwalk-node2vec-line-and-graphsage-ca23df60e493	NULL	NULL		NULL		2019
17699	Introduction to Neural Network| Convolutional Neural Network	https://www.analyticsvidhya.com/blog/2020/02/mathematics-behind-convolutional-neural-network/	NULL	NULL		NULL		2020
17700	Optimizers Explained - Adam, Momentum and Stochastic Gradient Descent	https://mlfromscratch.com/optimizers-explained/	NULL	NULL		NULL		2019
17701	The Next Phase of Deep Learning: Neural Architecture Learning ( Automatic Discovering of Neural... | by Mohammad Rastegari | Medium	https://medium.com/xnor-ai/the-next-phase-of-deep-learning-neural-architecture-learning-automatic-discovering-of-neural-d08fc9a6065d	NULL	NULL		NULL		2019
17702	sense2vec reloaded: contextually-keyed word vectors · Explosion	https://explosion.ai/blog/sense2vec-reloaded	NULL	NULL		NULL		2019
17703	ANN vs CNN vs RNN | Types of Neural Networks	https://www.analyticsvidhya.com/blog/2020/02/cnn-vs-rnn-vs-mlp-analyzing-3-types-of-neural-networks-in-deep-learning	NULL	NULL		NULL		2020
17704	Issue #64 - Neural Machine Translation with Byte-Level Subwords | Iconic Translation Machines	https://iconictranslation.com/2019/12/issue-64-neural-machine-translation-with-byte-level-subwords/	NULL	NULL		NULL		2019
17706	Text Summarization in Python With spaCy Library - Present Slide	https://www.presentslide.in/2019/08/text-summarization-python-spacy-library.html	NULL	NULL		NULL		2019
17707	Pytorch Tutorial for Deep Learning Lovers | Kaggle	https://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers	NULL	NULL		NULL		2019
17708	Autoencoders | Enhancing Image Resolution	https://www.analyticsvidhya.com/blog/2020/02/what-is-autoencoder-enhance-image-resolution/	NULL	NULL		NULL		2020
17709	OpenAI Releases 1.5 Billion Parameter GPT-2 Model | by Synced | SyncedReview | Medium	https://medium.com/syncedreview/openai-releases-1-5-billion-parameter-gpt-2-model-c34e97da56c0	NULL	NULL		NULL		2019
17711	Probability Distributions in Data Science	https://www.kdnuggets.com/2020/02/probability-distributions-data-science.html	NULL	NULL		NULL		2019
17712	An introduction to neural networks – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/l-neural/	NULL	NULL		NULL		2019
17713	An introduction to deep learning – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/an-introduction-to-deep-learning	NULL	NULL		NULL		2019
17714	Can we perform NLP on unfamiliar (natural) languages? | by Kyosuke Morita | Towards Data Science	https://towardsdatascience.com/can-we-perform-nlp-on-unfamiliar-natural-languages-138f6ea4af13	NULL	NULL		NULL		2019
17717	Text Cleaning Methods for Natural Language Processing | by Rebecca Vickery | Towards Data Science	https://towardsdatascience.com/text-cleaning-methods-for-natural-language-processing-f2fc1796e8c7	NULL	NULL		NULL		2019
17718	Introduction to computer vision – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/introduction-computer-vision	NULL	NULL		NULL		2019
17719	Machine learning and bias – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/machine-learning-and-bias	NULL	NULL		NULL		2019
17720	Simple Transformers — Multi-Class Text Classification with BERT, RoBERTa, XLNet, XLM, and DistilBERT | by Thilina Rajapakse | The Startup | Medium	https://medium.com/swlh/simple-transformers-multi-class-text-classification-with-bert-roberta-xlnet-xlm-and-8b585000ce3a	NULL	NULL		NULL		2019
17721	Curriculum for Reinforcement Learning	https://lilianweng.github.io/lil-log/2020/01/29/curriculum-for-reinforcement-learning.html	NULL	NULL		NULL		2020
17722	Training Generative Adverserial Networks (GANs) from scratch in PyTorch | by Aakash N S | Medium	https://medium.com/@aakashns/generative-adverserial-networks-gans-from-scratch-in-pytorch-ad48256458a7	NULL	NULL		NULL		2019
17723	  Linear to Logistic Regression, Explained Step by Step	https://www.kdnuggets.com/2020/03/linear-logistic-regression-explained.html	NULL	NULL		NULL		2019
17724	Python, NLTK, and the Digital Humanities: Finding Patterns in Gothic Literature | by Eleanor Stribling | Medium	https://medium.com/@eleanorstrib/python-nltk-and-the-digital-humanities-finding-patterns-in-gothic-literature-aca84639ceeb	NULL	NULL		NULL		2019
17725	Text Summarization	https://devopedia.org/text-summarization	NULL	NULL		NULL		2019
17726	Issue #32 - The Transformer Model: State-of-the-art Neural MT | Iconic Translation Machines	https://iconictranslation.com/2019/04/issue-32-the-transformer-model-state-of-the-art-neural-mt/	NULL	NULL		NULL		2019
17727	Issue #24 - Exploring language models for Neural MT | Iconic Translation Machines	https://iconictranslation.com/2019/02/issue-24-exploring-language-models-for-neural-mt/	NULL	NULL		NULL		2019
17728	Issue #12 - Character-based Neural MT | Iconic Translation Machines	https://iconictranslation.com/2018/10/issue-12-character-based-neural-mt/	NULL	NULL		NULL		2019
17729	Issue #11 - Unsupervised Neural MT | Iconic Translation Machines	https://iconictranslation.com/2018/09/issue-11-unsupervised-neural-mt/	NULL	NULL		NULL		2019
17730	Issue #6 - Zero-Shot Neural MT | Iconic Translation Machines	https://iconictranslation.com/2018/08/issue-6-zero-shot-neural-mt/	NULL	NULL		NULL		2019
17731	What are RNNs and LSTMs in Deep Learning? | Unite.AI	https://www.unite.ai/what-are-rnns-and-lstms-in-deep-learning/	NULL	NULL		NULL		2020
17732	Transformers — transformers 3.1.0 documentation	https://huggingface.co/transformers/	NULL	NULL		NULL		2019
17733	Learn the basics of computer vision and object detection – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/learn-the-basics-of-computer-vision-and-object-detection	NULL	NULL		NULL		2019
17734	Introduction to machine learning – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/introduction-to-machine-learning	NULL	NULL		NULL		2019
17735	403 Forbidden	http://datahacker.rs/random-initialization-parameters-neural-network/	NULL	NULL		NULL		2019
17736	403 Forbidden	http://datahacker.rs/shallow-neural-network-gradient-desecent	NULL	NULL		NULL		2019
17737	Transformer tutorial — DGL 0.6 documentation	https://docs.dgl.ai/en/latest/tutorials/models/4_old_wines/7_transformer.html	NULL	NULL		NULL		2019
17738	The Illustrated Self-Supervised Learning	https://amitness.com/2020/02/illustrated-self-supervised-learning	NULL	NULL		NULL		2020
17739	Graph neural networks and its variants — DGL 0.6 documentation	https://docs.dgl.ai/en/latest/tutorials/models/index.html	NULL	NULL		NULL		2019
17740	BoW Model and TF-IDF For Creating Feature From Text	https://www.analyticsvidhya.com/blog/2020/02/quick-introduction-bag-of-words-bow-tf-idf	NULL	NULL		NULL		2020
17741	The Illustrated Self-Supervised Learning	https://amitness.com/2020/02/illustrated-self-supervised-learning/	NULL	NULL		NULL		2020
17742	spaCy Tutorial | spaCy For NLP | spaCy NLP Tutorial	https://www.analyticsvidhya.com/blog/2020/03/spacy-tutorial-learn-natural-language-processing/	NULL	NULL		NULL		2020
17745	403 Forbidden	http://datahacker.rs/computation-graph/	NULL	NULL		NULL		2019
17746	AI Search Algorithms Every Data Scientist Should Know | by Aaron (Ari) Bornstein | Towards Data Science	https://towardsdatascience.com/ai-search-algorithms-every-data-scientist-should-know-ed0968a43a7a	NULL	NULL		NULL		2019
17748	Pretrained Models For Text Classification | Deep Learning Models	https://www.analyticsvidhya.com/blog/2020/03/6-pretrained-models-text-classification/	NULL	NULL		NULL		2020
17749	403 Forbidden	http://datahacker.rs/deep-neural-network-from-scratch-python/	NULL	NULL		NULL		2019
17750	403 Forbidden	http://datahacker.rs/deep-learning-lenet-5-architecture	NULL	NULL		NULL		2019
17751	403 Forbidden	https://machinelearningmastery.com/neural-networks-are-function-approximators/	NULL	NULL		NULL		2019
17752	A Deep Dive into the Reformer	https://www.pragmatic.ml/reformer-deep-dive/	NULL	NULL		NULL		2020
17755	A Top Machine Learning Algorithm Explained: Support Vector Machines (SVM)	https://www.kdnuggets.com/2020/03/machine-learning-algorithm-svm-explained.html	NULL	NULL		NULL		2019
17757	Autoencoders Tutorial | What are Autoencoders? | Edureka	https://www.edureka.co/blog/autoencoders-tutorial/	NULL	NULL		NULL		2019
17758	Diffusion Map for manifold learning, Theory and Implementation - ~/web/logs	https://randomwalk.in/python/ml/2020/03/14/Diffusion-Map.html	NULL	NULL		NULL		2019
17759	Roadmap to Computer Vision. An introduction to the main steps which... | by Pier Paolo Ippolito | Towards Data Science	https://towardsdatascience.com/roadmap-to-computer-vision-79106beb8be4	NULL	NULL		NULL		2019
17761	Hierarchical Clustering — Explained | by Soner Y?ld?r?m | Towards Data Science	https://towardsdatascience.com/hierarchical-clustering-explained-e58d2f936323	NULL	NULL		NULL		2019
17763	403 Forbidden	https://lionbridge.ai/articles/difference-between-cnn-and-rnn/	NULL	NULL		NULL		2019
17764	Marcin ZabA??ocki blog  | Custom classifier on top of BERT-like Language Model - guide	https://zablo.net/blog/post/custom-classifier-on-bert-model-guide-polemo2-sentiment-analysis/	NULL	NULL		NULL		2019
17765	10 Notable Frameworks for NLP. Natural Language Processing hit its big... | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/10-notable-frameworks-for-nlp-ce8c4196bfd6	NULL	NULL		NULL		2019
17766	Getting Started with Community Detection in Graphs and Networks	https://www.analyticsvidhya.com/blog/2020/04/community-detection-graphs-networks/	NULL	NULL		NULL		2020
17767	Domain Adaptation for NLP and Vision with Deep Learning | by Mun Kar Kin | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/domain-adaptation-for-nlp-and-vision-with-deep-learning-2cfb748f0051	NULL	NULL		NULL		2019
17768	Understanding Encoder-Decoder Sequence to Sequence Model | by Simeon Kostadinov | Towards Data Science	https://towardsdatascience.com/understanding-encoder-decoder-sequence-to-sequence-model-679e04af4346	NULL	NULL		NULL		2019
17769	How Recurrent Neural Networks work | by Simeon Kostadinov | Towards Data Science	https://towardsdatascience.com/learn-how-recurrent-neural-networks-work-84e975feaaf7	NULL	NULL		NULL		2019
17770	403 Forbidden	https://machinelearningmastery.com/pytorch-tutorial-develop-deep-learning-models/	NULL	NULL		NULL		2019
17771	Advanced Database Management System - Tutorials and Notes: Minimum edit distance for finding string distance	http://www.exploredatabase.com/2020/03/minimum-edit-distance-for-finding-distance-between-strings.html	NULL	NULL		NULL		2019
17773	Advanced Database Management System - Tutorials and Notes: Bayes theorem in natural language processing	http://www.exploredatabase.com/2020/03/bayes-theorem-in-natural-language-processing.html	NULL	NULL		NULL		2019
17774	Advanced Database Management System - Tutorials and Notes: Bigram, Trigram, and NGram Models in NLP	http://www.exploredatabase.com/2020/04/bigram-trigram-and-ngram-language-model-in-nlp.html	NULL	NULL		NULL		2019
17776	Advanced Database Management System - Tutorials and Notes: Evaluation of language model using Perplexity	http://www.exploredatabase.com/2020/04/evaluation-of-language-model-using-perplexity.html	NULL	NULL		NULL		2019
17777	Advanced Database Management System - Tutorials and Notes: Hidden markov model for NLP applications	http://www.exploredatabase.com/2020/03/hidden-markov-model-for-nlp-applications.html	NULL	NULL		NULL		2019
17778	Advanced Database Management System - Tutorials and Notes: Three fundamental problems of HMM	http://www.exploredatabase.com/2020/04/three-fundamental-problems-of-hmm.html	NULL	NULL		NULL		2019
17779	Advanced Database Management System - Tutorials and Notes: Ambiguity in Natural Language Processing	http://www.exploredatabase.com/2020/03/ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17780	Advanced Database Management System - Tutorials and Notes: Anaphoric ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/anaphoric-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17781	Advanced Database Management System - Tutorials and Notes: Attachment ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/attachment-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17783	Advanced Database Management System - Tutorials and Notes: Lexical ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/lexical-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17785	Advanced Database Management System - Tutorials and Notes: Pragmatics ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/pragmatics-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17786	Advanced Database Management System - Tutorials and Notes: Scope ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/scope-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17787	Advanced Database Management System - Tutorials and Notes: Semantic ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/semantic-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17788	Advanced Database Management System - Tutorials and Notes: Syntactic ambiguity in natural language processing	http://www.exploredatabase.com/2020/03/syntactic-ambiguity-in-natural-language-processing.html	NULL	NULL		NULL		2019
17789	Advanced Database Management System - Tutorials and Notes: What is document triage	http://www.exploredatabase.com/2020/03/what-is-document-triage-in-NLP.html	NULL	NULL		NULL		2019
17792	Advanced Database Management System - Tutorials and Notes: Notes on Derivational morphology in NLP	http://www.exploredatabase.com/2020/04/explain-derivational-morphology-in-nlp.html	NULL	NULL		NULL		2019
17793	Advanced Database Management System - Tutorials and Notes: Notes on Inflectional morphology in NLP	http://www.exploredatabase.com/2020/04/inflectional-morphology-in-natural-language-processing.html	NULL	NULL		NULL		2019
17794	Advanced Database Management System - Tutorials and Notes: Language model in natural language processing	http://www.exploredatabase.com/2020/04/language-model-in-natural-language-processing.html	NULL	NULL		NULL		2019
17795	Advanced Database Management System - Tutorials and Notes: Notes on Morphology in Natural Langugae Processing	http://www.exploredatabase.com/2020/04/morphology-in-natural-langugae-processing.html	NULL	NULL		NULL		2019
17796	Advanced Database Management System - Tutorials and Notes: Notes on natural language processing	http://www.exploredatabase.com/2020/04/notes-on-natural-language-processing.html	NULL	NULL		NULL		2019
17797	Deep Learning Interview Questions | Deep Learning Questions	https://www.analyticsvidhya.com/blog/2020/04/comprehensive-popular-deep-learning-interview-questions-answers/	NULL	NULL		NULL		2020
17799	45 Questions to test a data scientist on Deep Learning (along with solution)	https://www.analyticsvidhya.com/blog/2017/01/must-know-questions-deep-learning/	NULL	NULL		NULL		2017
17800	Activation Functions | Fundamentals Of Deep Learning	https://www.analyticsvidhya.com/blog/2020/01/fundamentals-deep-learning-activation-functions-when-to-use-them	NULL	NULL		NULL		2020
17801	Not Acceptable!	http://colinraffel.com/wiki/neural_network_hyperparameters	NULL	NULL		NULL		2019
17802	Comprehending Principal Component Analysis | by Ashu Prasad | Towards Data Science	https://towardsdatascience.com/comprehending-principal-component-analysis-9e820094ed44	NULL	NULL		NULL		2019
17804	Exploring Activation Functions for Neural Networks | by Dima Shulga | Towards Data Science	https://towardsdatascience.com/exploring-activation-functions-for-neural-networks-73498da59b02	NULL	NULL		NULL		2019
17805	Introduction to text representation and similarity | by Dima Shulga | Towards Data Science	https://towardsdatascience.com/introduction-to-text-representation-and-similarity-b5dd3fd71737	NULL	NULL		NULL		2019
17806	Speech Classification Using Neural Networks: The Basics | by Dima Shulga | Towards Data Science	https://towardsdatascience.com/speech-classification-using-neural-networks-the-basics-e5b08d6928b7	NULL	NULL		NULL		2019
17808	White Box AI: Interpretability Techniques | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/white-box-ai-interpretability-techniques-93ef257dd0bd	NULL	NULL		NULL		2019
17809	LDA Topic Modeling and pyLDAvis Visualization | by Xuan Qi | Medium	https://medium.com/@sherryqixuan/topic-modeling-and-pyldavis-visualization-86a543e21f58	NULL	NULL		NULL		2019
17810	Transfer Learning In NLP. Let’s not start from zero | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/transfer-learning-in-nlp-f5035cc3f62f	NULL	NULL		NULL		2019
17811	   How to train a new language model from scratch using Transformers and Tokenizers 	https://huggingface.co/blog/how-to-train	NULL	NULL		NULL		2019
17812	  Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib)	https://www.kdnuggets.com/2020/04/visualizing-decision-trees-python.html?	NULL	NULL		NULL		2019
17813	Social Media Influencer Identification Using Graphs	https://www.analyticsvidhya.com/blog/2020/03/using-graphs-to-identify-social-media-influencers/	NULL	NULL		NULL		2020
17814	Text Mining: Extracting and Analyzing all my Blogs on Machine Learning | by Niranjan Kumar | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/text-mining-extracting-and-analyzing-all-my-blogs-on-machine-learning-b6983c7a608e	NULL	NULL		NULL		2019
17815	Recommendation System Series Part 1: An Executive Guide to Building Recommendation System | by James Le | Towards Data Science	https://towardsdatascience.com/recommendation-system-series-part-1-an-executive-guide-to-building-recommendation-system-608f83e2630a	NULL	NULL		NULL		2019
17816	Recommendation System Series Part 2: The 10 Categories of Deep Recommendation Systems That Academic Researchers Should Pay Attention To | by James Le | Towards Data Science	https://towardsdatascience.com/recommendation-system-series-part-2-the-10-categories-of-deep-recommendation-systems-that-189d60287b58	NULL	NULL		NULL		2019
17817	Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That Will Change The Game | by James Le | Towards Data Science	https://towardsdatascience.com/recommendation-system-series-part-3-the-6-research-directions-of-deep-recommendation-systems-that-3a328d264fb7	NULL	NULL		NULL		2019
17818	Recommendation System Series Part 4: The 7 Variants of Matrix Factorization For Collaborative Filtering | by James Le | Towards Data Science	https://towardsdatascience.com/recsys-series-part-4-the-7-variants-of-matrix-factorization-for-collaborative-filtering-368754e4fab5	NULL	NULL		NULL		2019
17819	Recommendation System Series Part 5: The 5 Variants of Multi-Layer Perceptron for Collaborative Filtering | by James Le | Towards Data Science	https://towardsdatascience.com/recsys-series-part-5-neural-matrix-factorization-for-collaborative-filtering-a0aebfe15883	NULL	NULL		NULL		2019
17820	Probability concepts explained: Maximum likelihood estimation | by Jonny Brooks-Bartlett | Towards Data Science	https://towardsdatascience.com/probability-concepts-explained-maximum-likelihood-estimation-c7b4342fdbb1	NULL	NULL		NULL		2019
17821	Machine X: Text Summarization in Python - Knoldus Blogs	https://blog.knoldus.com/machine-x-text-summarization-in-python/	NULL	NULL		NULL		2019
17823	Gradient Based Optimizations: Jacobians, Jababians & Hessians | by Tojo Batsuuri | The Startup | Medium	https://medium.com/swlh/gradient-based-optimizations-jacobians-jababians-hessians-b7cbe62d662d	NULL	NULL		NULL		2019
17824	Deep Feedforward Networks. Deep Feedforward Networks, DFF’s, are... | by Tojo Batsuuri | Medium	https://medium.com/@tbatsuur/deep-feedforward-networks-8d05374e0490	NULL	NULL		NULL		2019
17825	Learning a XOR Function with Feedforward Neural Networks | by Tojo Batsuuri | The Startup | Medium	https://medium.com/swlh/learning-a-xor-function-with-feedforward-neural-networks-74ba3841f1c0	NULL	NULL		NULL		2019
17826	Principal Component Analysis Breakdown | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/principal-component-analysis-breakdown-f3fb1fb48efc	NULL	NULL		NULL		2019
17827	3 Ways To Make New Language Models ???? | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/3-ways-to-make-new-language-models-f3642e3a4816	NULL	NULL		NULL		2019
17828	SeqGAN: GANs for sequence generation | by Pratheeksha Nair | AI Club @IIITB | Medium	https://medium.com/ai-club-iiitb/seqgan-gans-for-sequence-generation-5c74a84cd230	NULL	NULL		NULL		2019
17829	Learn to Find Topics in a Text Corpus | by Sooraj Subrahmannian | Medium	https://medium.com/@soorajsubrahmannian/extracting-hidden-topics-in-a-corpus-55b2214fc17d	NULL	NULL		NULL		2019
17830	On Semantic Search. Make robust search engines | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/semantic-search-fuck-yeah-e371c0f639d	NULL	NULL		NULL		2019
17831	NLP Interview Questions ????. Questions asked for NLP roles | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/nlp-interview-questions-f062040f32f7	NULL	NULL		NULL		2019
17832	Variety Of Encoders In NLP. Master feature engineering for text | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/on-variety-of-encoding-text-8b7623969d1e	NULL	NULL		NULL		2019
17834	Towards Explainable Graph Neural Networks | by Kacper Kubara | Towards Data Science	https://towardsdatascience.com/towards-explainable-graph-neural-networks-45f5e3912dd0	NULL	NULL		NULL		2019
17835	Unsupervised NER using BERT. TL;DR | by Ajit Rajasekharan | Towards Data Science	https://towardsdatascience.com/unsupervised-ner-using-bert-2d7af5f90b8a	NULL	NULL		NULL		2019
17836	Examining BERT’s raw embeddings. Are they of any use standalone? | by Ajit Rajasekharan | Towards Data Science	https://towardsdatascience.com/examining-berts-raw-embeddings-fd905cb22df7	NULL	NULL		NULL		2019
17837	CNN vs. RNN vs. ANN — Analyzing 3 Types of Neural Networks in Deep Learning | by Aravind Pai | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/cnn-vs-rnn-vs-ann-analyzing-3-types-of-neural-networks-in-deep-learning-f3fa1249589d	NULL	NULL		NULL		2019
17838	Solving Sentence Pair Tasks Using Simple Transformers | by Thilina Rajapakse | The Startup | Medium	https://medium.com/swlh/solving-sentence-pair-tasks-using-simple-transformers-2496fe79d616	NULL	NULL		NULL		2019
17839	Sparse, Stacked and Variational Autoencoder | by Venkata Krishna Jonnalagadda | Medium	https://medium.com/@venkatakrishna.jonnalagadda/sparse-stacked-and-variational-autoencoder-efe5bfe73b64	NULL	NULL		NULL		2019
17840	When GraphSAGE Meets Pinterest. In the previous stories, we introduced... | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/when-graphsage-meets-pinterest-5e82c9a88120	NULL	NULL		NULL		2019
17841	Level Up: spaCy NLP for the Win. Kimberly is a speaker for ODSC East... | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/level-up-spacy-nlp-for-the-win-4c39e50c3f08	NULL	NULL		NULL		2019
17842	4 Graph Neural Networks you Need to Know (WLG, GCN, GAT, GIN) | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/4-graph-neural-networks-you-need-to-know-wlg-gcn-gat-gin-1bf10d29d836	NULL	NULL		NULL		2019
17843	From ContE to Entity Type Embeddings in Natural Language Processing | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/from-conte-to-entity-type-embeddings-in-natural-language-processing-19e53db90dd5	NULL	NULL		NULL		2019
17844	Multi-lingual Language Model Fine-tuning | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/multi-lingual-language-model-fine-tuning-81922a80438f	NULL	NULL		NULL		2019
17846	NLU for everyone with BERT. BERT stands for “Bidirectional Encoder... | by Manu Cohen Yashar | The Startup | Medium	https://medium.com/swlh/nlu-for-everyone-with-bert-7bedaa609a61	NULL	NULL		NULL		2019
17847	Practical AI : Automatically Generate Multiple Choice Questions (MCQs) from any content with BERT Summarizer, Wordnet and Conceptnet | by Ramsri Goutham | Towards Data Science	https://towardsdatascience.com/practical-ai-automatically-generate-multiple-choice-questions-mcqs-from-any-content-with-bert-2140d53a9bf5	NULL	NULL		NULL		2019
17853	Intro to optimization in deep learning: Gradient Descent	https://blog.paperspace.com/intro-to-optimization-in-deep-learning-gradient-descent/	NULL	NULL		NULL		2018
17854	Intro to optimization in deep learning:  Momentum, RMSProp and Adam	https://blog.paperspace.com/intro-to-optimization-momentum-rmsprop-adam/	NULL	NULL		NULL		2018
17855	How to chose an activation function for your network	https://blog.paperspace.com/vanishing-gradients-activation-function/	NULL	NULL		NULL		2018
17856	Intro to Optimization in Deep Learning: Busting the Myth About Batch Normalization	https://blog.paperspace.com/busting-the-myths-about-batch-normalization/	NULL	NULL		NULL		2018
17857	Machine Learning Necessary for Deep Learning | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/machine-learning-necessary-for-deep-learning-ii-44c607dfaa50	NULL	NULL		NULL		2019
17858	Common loss functions that you should know! | by Sowmya Yellapragada | ML Cheat Sheet | Medium	https://medium.com/ml-cheat-sheet/winning-at-loss-functions-common-loss-functions-that-you-should-know-a72c1802ecb4	NULL	NULL		NULL		2019
17859	Useful Probability Distributions and Structured Probabilistic Models | by Tojo Batsuuri | The Startup | Medium	https://medium.com/swlh/useful-probability-distributions-and-structured-probabilistic-models-a4123417833b	NULL	NULL		NULL		2019
17860	Machine Learning Background Necessary for Deep Learning | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/machine-learning-necessary-for-deep-learning-2095a345ec2c	NULL	NULL		NULL		2019
17861	Probability Theory Ideas and Concepts | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/probability-theory-ideas-and-concepts-7e33d6ff0a5c	NULL	NULL		NULL		2019
17862	Linear Algebra Data Structures and Operations | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/linear-algebra-data-structures-and-operations-500d54db3447	NULL	NULL		NULL		2019
17863	Computationally Efficient Matrices and Matrix Decompositions | by Tojo Batsuuri | The Startup | Medium	https://medium.com/swlh/computationally-efficient-matrices-and-matrix-decompositions-64a134d76a9a	NULL	NULL		NULL		2019
17864	Numerical Method Considerations for Machine Learning | by Tojo Batsuuri | Towards Data Science	https://towardsdatascience.com/numerical-method-considerations-for-machine-learning-e69331d28611	NULL	NULL		NULL		2019
17865	Unsupervised NLP: How I Learned to Love the Data | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/unsupervised-nlp-how-i-learned-to-love-the-data-1dde7dc4a3c1	NULL	NULL		NULL		2019
17866	Attention is all you need, the transformer architecture | by constanza fierro | dair.ai | Medium	https://medium.com/dair-ai/summary-attention-is-all-you-need-the-transformer-architecture-eb76e5f8e6fb	NULL	NULL		NULL		2019
17867	The Magic Behind Embedding Models | by Mohamed Gharibi | Towards Data Science	https://towardsdatascience.com/the-magic-behind-embedding-models-c3af62f71fb	NULL	NULL		NULL		2019
17868	What Is Natural Language Processing? A Gentle Introduction to NLP	https://programmerbackpack.com/what-is-natural-language-processing-a-gentle-introduction-to-nlp/	NULL	NULL		NULL		2019
17869	Unsupervised Extractive Summarization: A Comparative Study | by Laurent El Ghaoui | Towards Data Science	https://towardsdatascience.com/unsupervised-extractive-summarization-a-comparative-study-ca6ac2181d54	NULL	NULL		NULL		2019
17870	Byte Pair Encoding — The Dark Horse of Modern NLP | by Akashdeep Singh Jaswal | Towards Data Science	https://towardsdatascience.com/byte-pair-encoding-the-dark-horse-of-modern-nlp-eb36c7df4f10	NULL	NULL		NULL		2019
17871	Word2Vec to Transformers. The evolution of word embeddings, notes... | by Antonio Lopardo | Towards Data Science	https://towardsdatascience.com/word2vec-to-transformers-caf5a3daa08a	NULL	NULL		NULL		2019
17872	Machine Comprehension with BERT. In 2018, Google’s BERT beat human... | by Edward Qian | Medium	https://medium.com/learn-nlp/machine-comprehension-with-bert-6eadf16c87c1	NULL	NULL		NULL		2019
17873	Unix/Python Tutorial	http://users.umiacs.umd.edu/~hal/courses/2013S_ML/p0/	NULL	NULL		NULL		2019
17874	The Transformer: A Quick Run Through | by Mandar Deshpande | Towards Data Science	https://towardsdatascience.com/the-transformer-a-quick-run-through-ce9b21b4f3ed	NULL	NULL		NULL		2019
17875	Language Modeling — I. Next word prediction using language... | by Mandar Deshpande | Towards Data Science	https://towardsdatascience.com/language-modeling-c1cf7b983685	NULL	NULL		NULL		2019
17876	Language Modeling II: ULMFiT and ELMo | Towards Data Science | Towards Data Science	https://towardsdatascience.com/language-modelingii-ulmfit-and-elmo-d66e96ed754f	NULL	NULL		NULL		2019
17877	Start Your CNN Journey with PyTorch in Python — One Zero Blog | by Rahul Raoniar | Towards Data Science	https://towardsdatascience.com/start-your-cnn-journey-with-pytorch-in-python-6f8364a79801	NULL	NULL		NULL		2019
17878	Hypothesis Testing Explained as Simply as Possible | by Terence S | Towards Data Science	https://towardsdatascience.com/hypothesis-testing-explained-as-simply-as-possible-6e0a256293cf	NULL	NULL		NULL		2019
17879	Natural Language Generation using BERT | by Prakhar Mishra | Intel Student Ambassadors | Medium	https://medium.com/intel-student-ambassadors/natural-language-generation-using-bert-df6d863c3f52	NULL	NULL		NULL		2019
17880	Unsupervised Learning Algorithms: Explanaition and Simple code | by Felipe Sanchez | Medium	https://medium.com/@fesan818181/unsupervised-learning-algorithms-explanaition-and-simple-code-b7f695a9e2cd	NULL	NULL		NULL		2019
17881	Extractive Text Summarization Using spaCy in Python | by Ng Wai Foong | Better Programming | Medium	https://medium.com/better-programming/extractive-text-summarization-using-spacy-in-python-88ab96d1fd97	NULL	NULL		NULL		2019
17882	Maximum Likelihood Estimation VS Maximum A Posterior | by Yang S | Towards Data Science	https://towardsdatascience.com/mle-vs-map-a989f423ae5c	NULL	NULL		NULL		2019
17883	Rediscovering Semi-Supervised Learning | data from the trenches	https://medium.com/data-from-the-trenches/re-discovering-semi-supervised-learning-a18bb46116e3	NULL	NULL		NULL		2019
17885	The story of BERT-ian era. Let’s just peek into the pre-BERT... | by Anusree S | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/the-story-of-bert-ian-era-4fc455f0cfc	NULL	NULL		NULL		2019
17886	In Depth Linear Regression. Understanding Algorithms starting with... | by Mandy Gu | Towards Data Science	https://towardsdatascience.com/data-science-crash-course-in-depth-linear-regression-fd06511f586c	NULL	NULL		NULL		2019
17887	Evaluation of an NLP model — latest benchmarks | by Ria Kulshrestha | Towards Data Science	https://towardsdatascience.com/evaluation-of-an-nlp-model-latest-benchmarks-90fd8ce6fae5	NULL	NULL		NULL		2019
17888	Math and Statistics Review. The ultimate guide to learning Data... | by Mandy Gu | Towards Data Science	https://towardsdatascience.com/data-science-crash-course-math-and-statistics-review-8548e9e15c1f	NULL	NULL		NULL		2019
17889	Distributed Vector Representation : Simplified | by Prakhar Ganesh | Towards Data Science	https://towardsdatascience.com/distributed-vector-representation-simplified-55bd2965333e	NULL	NULL		NULL		2019
17890	Pre-trained Language Models: Simplified | by Prakhar Ganesh | Towards Data Science	https://towardsdatascience.com/pre-trained-language-models-simplified-b8ec80c62217	NULL	NULL		NULL		2019
17891	Sentiment Analysis : Simplified. Take a peek into the ‘Hello World’ of... | by Prakhar Ganesh | Towards Data Science	https://towardsdatascience.com/sentiment-analysis-simplified-ac30720a5827	NULL	NULL		NULL		2019
17892	Automatic Text Summarization : Simplified | by Prakhar Ganesh | Towards Data Science	https://towardsdatascience.com/automatic-text-summarization-simplified-3b7c10c4093a	NULL	NULL		NULL		2019
17893	What is Cross-Entropy in Machine learning? | by Neelam Tyagi | Analytics Steps | Medium	https://medium.com/analytics-steps/what-is-cross-entropy-in-machine-learning-10479639ec28	NULL	NULL		NULL		2019
17894	Dive into Deep Learning. Deep learning is getting lots of... | by Shanika Perera | The Startup | Medium	https://medium.com/swlh/dive-into-deep-learning-f21bef658da2	NULL	NULL		NULL		2019
17897	Extract Keywords Using spaCy in Python | by Ng Wai Foong | Better Programming | Medium	https://medium.com/better-programming/extract-keywords-using-spacy-in-python-4a8415478fbf	NULL	NULL		NULL		2019
17898	BERT: Bidirectional Encoder Representations from Transformers | by Akshay Prakash | The Startup | Medium	https://medium.com/swlh/bert-bidirectional-encoder-representations-from-transformers-c1ba3ef5e2f4	NULL	NULL		NULL		2019
17899	Attention in end-to-end Automatic Speech Recognition | by Shreekantha Nadig | Intel Student Ambassadors | Medium	https://medium.com/intel-student-ambassadors/attention-in-end-to-end-automatic-speech-recognition-9f9e42718d21	NULL	NULL		NULL		2019
17901	A sane introduction to maximum likelihood estimation (MLE) and maximum a posteriori (MAP) | Terra Incognita	http://blog.christianperone.com/2019/01/mle/	NULL	NULL		NULL		2019
17902	Understanding RNN and LSTM. What is Neural Network? | by Aditi Mittal | Towards Data Science	https://towardsdatascience.com/understanding-rnn-and-lstm-f7cdf6dfc14e	NULL	NULL		NULL		2019
17904	Latent Dirichlet Allocation for Beginners: A high level intuition | by Pratik Barhate | Medium	https://medium.com/@pratikbarhate/latent-dirichlet-allocation-for-beginners-a-high-level-intuition-23f8a5cbad71	NULL	NULL		NULL		2019
17906	Deep Learning Made Easy: Part 2: Neural Networks with Gradient Descent | by Sachin Kumar | Towards Data Science	https://towardsdatascience.com/deep-learning-made-easy-neural-networks-with-gradient-descent-1eff6ef2cd28	NULL	NULL		NULL		2019
17907	Deep Learning Made Easy: Part 1: Introduction to Neural Networks | by Sachin Kumar | Towards Data Science	https://towardsdatascience.com/deep-learning-made-easy-part-1-introduction-to-neural-networks-434df17d8f03	NULL	NULL		NULL		2019
17908	Deep Learning Made Easy: Part 3: Activation Functions, Parameters and Hyperparameters and Weight Initialization | by Sachin Kumar | Towards Data Science	https://towardsdatascience.com/deep-learning-made-easy-activation-functions-parameters-and-hyperparameters-and-weight-c7bcfeb9af24	NULL	NULL		NULL		2019
17909	Easy Speech-to-Text with Python. Speech to Text | by Dhilip Subramanian | Towards Data Science	https://towardsdatascience.com/easy-speech-to-text-with-python-3df0d973b426	NULL	NULL		NULL		2019
17910	Exploratory Data Analysis for Text Data | by yonatan hadar | BigPanda Engineering | Medium	https://medium.com/bigpanda-engineering/exploratory-data-analysis-for-text-data-29cf7dd54eb8	NULL	NULL		NULL		2019
17911	Easy Visual Question Answering. A gentle introduction to Visual... | by Victor Zhou | Towards Data Science	https://towardsdatascience.com/easy-visual-question-answering-victorzhou-com-637efa38b55c	NULL	NULL		NULL		2019
17912	A Simple Explanation of the Bag-of-Words Model | by Victor Zhou | Towards Data Science	https://towardsdatascience.com/a-simple-explanation-of-the-bag-of-words-model-b88fc4f4971	NULL	NULL		NULL		2019
17913	An Introduction to Recurrent Neural Networks for Beginners | by Victor Zhou | Towards Data Science	https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd	NULL	NULL		NULL		2019
17914	Machine Learning for Beginners: An Introduction to Neural Networks | by Victor Zhou | Towards Data Science	https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9	NULL	NULL		NULL		2019
17915	Intro to Goal-Oriented (GO) Dialogue Systems | iSquared	https://ilievskiv.github.io/blog/2017-10-14-go-chatbots-intro/	NULL	NULL		NULL		2017
17916	410 Deleted by author — Medium	https://towardsdatascience.com/generative-adversarial-networks-in-python-da983edc36ab	NULL	NULL		NULL		2019
17917	Inductive vs. Transductive Learning | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/inductive-vs-transductive-learning-e608e786f7d	NULL	NULL		NULL		2019
17919	A brief introduction to the beauty of Information Theory | by Federico Carrone | This is not a Monad tutorial	https://notamonadtutorial.com/a-brief-introduction-to-the-beauty-of-information-theory-8357f5b6a355	NULL	NULL		NULL		2019
17920	My NLP learning journey. As you read the title, I will share... | by Amal Menzli | Towards Data Science	https://towardsdatascience.com/my-nlp-learning-journey-6de23cf2b196	NULL	NULL		NULL		2019
17921	Text Mining in Python: Steps and Examples | by Dhilip Subramanian | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/text-mining-in-python-steps-and-examples-78b3f8fd913b	NULL	NULL		NULL		2019
17922	403 Forbidden	https://machinelearningmastery.com/dimensionality-reduction-for-machine-learning/	NULL	NULL		NULL		2019
17923	A Complete Guide to Hypothesis Testing | by Christina | Towards Data Science	https://towardsdatascience.com/a-complete-guide-to-hypothesis-testing-2e0279fa9149	NULL	NULL		NULL		2019
17924	Named Entity Recognition (NER) Case Study | The Startup	https://medium.com/swlh/approaching-a-named-entity-recognition-ner-end-to-end-steps-685735b4a2f9	NULL	NULL		NULL		2019
17925	A Light Introduction to BERT. Pre-training of Deep Bidirectional... | by constanza fierro | dair.ai | Medium	https://medium.com/dair-ai/a-light-introduction-to-bert-2da54f96b68c	NULL	NULL		NULL		2019
17926	Understanding Mathematical Symbols with Code | by Ian Rowan | Towards Data Science	https://towardsdatascience.com/understanding-mathematical-symbols-with-code-5aa0c542644	NULL	NULL		NULL		2019
17928	The NOT definitive guide to learning math for machine learning | by Favio Va?zquez | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/the-not-definitive-guide-to-learning-math-for-machine-learning-cecab8e0aec7	NULL	NULL		NULL		2019
17929	Understanding neural networks 2: The math of neural networks in 3 equations | by Aleksander Obuchowski | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/understanding-neural-networks-2-the-math-of-neural-networks-in-3-equations-6085fd3f09df	NULL	NULL		NULL		2019
17930	Bert: Step by step by Hugging face | by Abdulelah Alkesaiberi | The Startup | Medium	https://medium.com/swlh/bert-step-by-step-b7ff47fcfbe	NULL	NULL		NULL		2019
17931	Natural Language Understanding With SVM’s | by Bouwe Ceunen | Axons | Medium	https://medium.com/axons/natural-language-understanding-with-svms-87f1b8a63ea0	NULL	NULL		NULL		2019
17932	Deep NLP: Sequential Models with RNNs | by Harsha Bommana | Deep Learning Demystified | Medium	https://medium.com/deep-learning-demystified/deep-nlp-sequential-models-with-rnns-94c89e4c7db0	NULL	NULL		NULL		2019
17933	Introduction to Neural Networks - Part 1	https://deeplearningdemystified.com/article/fdl-1	NULL	NULL		NULL		2019
17934	Introduction to Neural Networks - Part 2	https://deeplearningdemystified.com/article/fdl-2	NULL	NULL		NULL		2019
17935	Loss Functions Explained	https://deeplearningdemystified.com/article/fdl-3	NULL	NULL		NULL		2019
17936	Understanding Optimizers	https://deeplearningdemystified.com/article/fdl-4	NULL	NULL		NULL		2019
17937	Generalization in Neural Networks	https://deeplearningdemystified.com/article/fdl-5	NULL	NULL		NULL		2019
17938	Deep NLP: Word Vectors with Word2Vec	https://deeplearningdemystified.com/article/nlp-1	NULL	NULL		NULL		2019
17939	Deep NLP: Sequential Models with RNNs	https://deeplearningdemystified.com/article/nlp-2	NULL	NULL		NULL		2019
17940	Deep CV: How do CNNs work?	https://deeplearningdemystified.com/article/cv-1	NULL	NULL		NULL		2019
17942	A Contemporary Introduction to Natural Language Processing(NLP) in 2020 | by Aniket Naik | The Startup | Medium	https://medium.com/swlh/a-contemporary-introduction-to-natural-language-processing-nlp-in-2020-d93202502048	NULL	NULL		NULL		2019
17944	Tutorial #1: bias and fairness in AI	https://www.borealisai.com/en/blog/tutorial1-bias-and-fairness-ai/	NULL	NULL		NULL		2019
17945	Tutorial #2: few-shot learning and meta-learning I	https://www.borealisai.com/en/blog/tutorial-2-few-shot-learning-and-meta-learning-i/	NULL	NULL		NULL		2019
17946	Tutorial #3: few-shot learning and meta-learning II	https://www.borealisai.com/en/blog/tutorial-3-few-shot-learning-and-meta-learning-ii/	NULL	NULL		NULL		2019
17947	Tutorial #4: auxiliary tasks in deep reinforcement learning	https://www.borealisai.com/en/blog/tutorial-4-auxiliary-tasks-deep-reinforcement-learning/	NULL	NULL		NULL		2019
17948	Tutorial #5: variational autoencoders	https://www.borealisai.com/en/blog/tutorial-5-variational-auto-encoders/	NULL	NULL		NULL		2019
17949	Tutorial #6: neural natural language generation - decoding algorithms	https://www.borealisai.com/en/blog/tutorial-6-neural-natural-language-generation-decoding-algorithms/	NULL	NULL		NULL		2019
17950	Tutorial #7: neural natural language generation - sequence level training	https://www.borealisai.com/en/blog/tutorial-7-neural-natural-language-generation-sequence-level-training/	NULL	NULL		NULL		2019
17952	spaCy Tutorial | spaCy For NLP | spaCy NLP Tutorial	https://www.analyticsvidhya.com/blog/2020/03/spacy-tutorial-learn-natural-language-processing	NULL	NULL		NULL		2020
17953	Linear Algebra for Data Science Ep1 — Introduction to Vectors and Matrices using Python | by Harshit Tyagi | Towards Data Science	https://towardsdatascience.com/introduction-to-vectors-and-matrices-using-python-for-data-science-e836e014eb12	NULL	NULL		NULL		2019
17954	601.467/667 Introduction to Human Language Technology	https://jhu-intro-hlt.github.io/	NULL	NULL		NULL		2019
17955	Top Python Resources for Beginners | by Cyril Michino | Chaptr Global | Medium	https://medium.com/chaptrglobal/python-resources-explore-pathways-and-best-learning-resources-2020-chaptr-global-6e765e8f93c	NULL	NULL		NULL		2019
17956	Finite-armed stochastic bandits: Warming up – Bandit Algorithms	https://banditalgs.com/2016/09/04/stochastic-bandits-warm-up/	NULL	NULL		NULL		2016
17957	Bandit Algorithms Book – Bandit Algorithms	https://banditalgs.com/2018/07/27/bandit-algorithms-book/	NULL	NULL		NULL		2018
17958	How to generate random variables from scratch (no library used) | by Tirthajyoti Sarkar | Towards Data Science	https://towardsdatascience.com/how-to-generate-random-variables-from-scratch-no-library-used-4b71eb3c8dc7	NULL	NULL		NULL		2019
17959	Need and Use of Activation Functions | by Sunil kumar Jangir | Medium	https://medium.com/@sunil.jangir07/need-and-use-of-activation-functions-30ec5b0fa365	NULL	NULL		NULL		2019
17960	Evolution of Language Models: N-Grams, Word Embeddings, Attention & Transformers | by Timothy Tan | Towards Data Science	https://towardsdatascience.com/evolution-of-language-models-n-grams-word-embeddings-attention-transformers-a688151825d2	NULL	NULL		NULL		2019
17961	Matrix Operations in NumPy vs. Matlab · Chris McCormick	https://mccormickml.com/2019/10/28/matrix-operations-in-numpy-vs-matlab/	NULL	NULL		NULL		2019
17962	Tutorial: Network Visualization Basics with Networkx and Plotly in Python | Towards Data Science	https://towardsdatascience.com/tutorial-network-visualization-basics-with-networkx-and-plotly-and-a-little-nlp-57c9bbb55bb9	NULL	NULL		NULL		2019
17963	The Basics: Support Vector Machines | by Max Miller | Towards Data Science	https://towardsdatascience.com/the-basics-support-vector-machines-219585f1a107	NULL	NULL		NULL		2019
17964	Text Preprocessing for NLP and Machine Learning Tasks | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/text-preprocessing-for-nlp-and-machine-learning-tasks-3e077aa4946e	NULL	NULL		NULL		2019
17965	Illustrated Guide to Transformers- Step by Step Explanation | by Michael Phi | Towards Data Science	https://towardsdatascience.com/illustrated-guide-to-transformers-step-by-step-explanation-f74876522bc0	NULL	NULL		NULL		2019
17966	Visualisation of embedding relations (word2vec, BERT) | by Gergely D. Ne?meth | Towards Data Science	https://towardsdatascience.com/visualisation-of-embedding-relations-word2vec-bert-64d695b7f36	NULL	NULL		NULL		2019
17967	410 Deleted by author — Medium	https://medium.com/swlh/named-entity-recognition-using-bert-2fb924864d47	NULL	NULL		NULL		2019
17968	Improving sentence embeddings with BERT and Representation Learning | by Denis Antyukhov | Towards Data Science	https://towardsdatascience.com/improving-sentence-embeddings-with-bert-and-representation-learning-dfba6b444f6b	NULL	NULL		NULL		2019
17970	Scientific Computing with NumPy From A to Z | Towards Data Science	https://towardsdatascience.com/scientific-computing-with-python-daaaaddfa122	NULL	NULL		NULL		2019
17971	A Layman’s Guide to Deep Convolutional Neural Networks | by Jojo John Moolayil | Towards Data Science	https://towardsdatascience.com/a-laymans-guide-to-deep-convolutional-neural-networks-7e937628605f	NULL	NULL		NULL		2019
17972	NLP — BERT & Transformer. Google published an article... | by Jonathan Hui | Medium	https://medium.com/@jonathan_hui/nlp-bert-transformer-7f0ac397f524	NULL	NULL		NULL		2019
17975	Attention (Plus) Is All You Need. Motivation for this article is to... | by Lijesh Shetty | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/attention-plus-is-all-you-need-b9248fdc795e	NULL	NULL		NULL		2019
17976	An Introduction to Optical Character Recognition for Beginners | by Renu Khandelwal | Towards Data Science	https://towardsdatascience.com/an-introduction-to-optical-character-recognition-for-beginners-14268c99d60	NULL	NULL		NULL		2019
17977	Automatic Text Summarization Made Simple | luisfredgs	https://medium.com/luisfredgs/automatic-text-summarization-made-simple-with-python-f9c3c645e34a	NULL	NULL		NULL		2019
17978	Build an Artificial Neural Network(ANN) from scratch: Part-1 | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/build-an-artificial-neural-network-ann-from-scratch-part-1-a21988497962	NULL	NULL		NULL		2019
17979	Build an Artificial Neural Network(ANN) from scratch: Part-2 | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/build-an-artificial-neural-network-ann-from-scratch-part-2-a33c44eca56b	NULL	NULL		NULL		2019
17980	Learn How to Perform Feature Extraction from Graphs using DeepWalk | by Prateek Joshi | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/learn-how-to-perform-feature-extraction-from-graphs-using-deepwalk-85437bb8363e	NULL	NULL		NULL		2019
17982	Latent Dirichlet Allocation For Topic Modelling Explained: Algorithm And Python Scikit-Learn Implementation | by Marius Borcan | Towards Data Science	https://towardsdatascience.com/latent-dirichlet-allocation-for-topic-modelling-explained-algorithm-and-python-scikit-learn-c65a82e7304d	NULL	NULL		NULL		2019
17983	What is Deep Learning and How does it work? | by Artem Oppermann | Towards Data Science	https://towardsdatascience.com/what-is-deep-learning-and-how-does-it-work-2ce44bb692ac	NULL	NULL		NULL		2019
17984	Eigenfaces — Face Classification in Python | by Dario Radec?ic? | Towards Data Science	https://towardsdatascience.com/eigenfaces-face-classification-in-python-7b8d2af3d3ea	NULL	NULL		NULL		2019
17985	Basics of Reinforcement Learning, the Easy Way | by Ziad SALLOUM | Medium	https://medium.com/@zsalloum/basics-of-reinforcement-learning-the-easy-way-fb3a0a44f30e	NULL	NULL		NULL		2019
17987	NLP: Word Embedding Techniques for Text Analysis | by Fangyug | SFU Professional Master’s Program in Computer Science | Medium	https://medium.com/sfu-cspmp/nlp-word-embedding-techniques-for-text-analysis-ec4e91bb886f	NULL	NULL		NULL		2019
17988	Real world implementation of Logistic Regression | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/real-world-implementation-of-logistic-regression-5136cefb8125	NULL	NULL		NULL		2019
17989	A friendly introduction to Support Vector Machines(SVM) | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/a-friendly-introduction-to-support-vector-machines-svm-925b68c5a079	NULL	NULL		NULL		2019
17990	Introduction to Convolutional Neural Networks(CNN) | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/introduction-to-convolutional-neural-networks-cnn-1ee504bc20c3	NULL	NULL		NULL		2019
17991	Hyperparameter Optimization for Machine Learning Models | by Nagesh Singh Chauhan | The Startup | Medium	https://medium.com/swlh/hyperparameter-optimization-for-machine-learning-models-12582f00ae52	NULL	NULL		NULL		2019
17992	Dimensionality Reduction: Principal Component Analysis (PCA) | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/dimensionality-reduction-principal-component-analysis-pca-d59bc1fed3dd?source=---------7------------------	NULL	NULL		NULL		2019
17993	Mathematics (and a bit of Computer Science) | by Gab Datiles | Medium	https://medium.com/@gvdatiles/mathematics-and-a-bit-of-computer-science-cefa1bc71704	NULL	NULL		NULL		2019
17994	Deep Learning for Computer Vision | by Rachit Tayal | Towards Data Science	https://towardsdatascience.com/deep-learning-for-computer-vision-c4e5f191c522	NULL	NULL		NULL		2019
17995	403 Forbidden	http://datahacker.rs/essence-of-linear-algebra-vectors/	NULL	NULL		NULL		2019
17996	403 Forbidden	http://datahacker.rs/linear-combination-of-vectors/	NULL	NULL		NULL		2019
17997	403 Forbidden	http://datahacker.rs/linear-transformations/	NULL	NULL		NULL		2019
17998	403 Forbidden	http://datahacker.rs/linear-algebra-determinant/	NULL	NULL		NULL		2019
17999	403 Forbidden	http://datahacker.rs/inverse-matrices-rank/	NULL	NULL		NULL		2019
18000	403 Forbidden	http://datahacker.rs/dot-product-inner-product/	NULL	NULL		NULL		2019
18001	403 Forbidden	http://datahacker.rs/change-of-basis/	NULL	NULL		NULL		2019
18002	403 Forbidden	http://datahacker.rs/eigenvectors-and-eigenvalues/	NULL	NULL		NULL		2019
18003	The Power of Feature Engineering. Why you should probably just use... | by Conor O'Sullivan | Towards Data Science	https://towardsdatascience.com/the-power-of-feature-engineering-b6f3bb7de39c	NULL	NULL		NULL		2019
18004	Relevance, Ranking and Search. Interesting journey of a search query | by Mayur Bhangale | The Startup | Medium	https://medium.com/swlh/relevance-ranking-and-search-a98b35ebc7b3	NULL	NULL		NULL		2019
18005	N-gram language models. Part 1: The unigram model | by Khanh Nguyen | MTI Technology | Medium	https://medium.com/mti-technology/n-gram-language-model-b7c2fc322799	NULL	NULL		NULL		2019
18006	N-gram language models. Part 2: Higher n-gram models | by Khanh Nguyen | MTI Technology | Medium	https://medium.com/mti-technology/n-gram-language-models-70af02e742ad	NULL	NULL		NULL		2019
18007	How to generate Gaussian samples. Part 1: Inverse transform sampling | by Khanh Nguyen | MTI Technology | Medium	https://medium.com/mti-technology/how-to-generate-gaussian-samples-347c391b7959	NULL	NULL		NULL		2019
18008	How to generate Gaussian samples. Part 2: The Box-Muller transform | by Khanh Nguyen | MTI Technology | Medium	https://medium.com/mti-technology/how-to-generate-gaussian-samples-3951f2203ab0	NULL	NULL		NULL		2019
18009	How to generate Gaussian samples. Part 3: The central limit theorem | by Khanh Nguyen | MTI Technology | Medium	https://medium.com/mti-technology/how-to-generate-gaussian-samples-1cbf46b49751	NULL	NULL		NULL		2019
18010	Probability Distributions and Maximum Likelihood Estimation (MLE)	https://mlfromscratch.com/probability-distributions-and-densities	NULL	NULL		NULL		2019
18011	Auto-highlighter: extractive text summarization with sequence-to-sequence model | by Rimacyn | Medium	https://medium.com/@rimacyn_23654/auto-highlighter-extractive-text-summarization-with-sequence-to-sequence-model-cbbf333772bf	NULL	NULL		NULL		2019
18012	Feature Engineering Techniques. An introduction to some of the main... | by Pier Paolo Ippolito | Towards Data Science	https://towardsdatascience.com/feature-engineering-techniques-9a57e4901545	NULL	NULL		NULL		2019
18013	Building Neural Network Using PyTorch | by Tasnuva Zaman | Towards Data Science	https://towardsdatascience.com/building-neural-network-using-pytorch-84f6e75f9a	NULL	NULL		NULL		2019
18014	Training Neural Network using PyTorch | by Tasnuva Zaman | Towards Data Science	https://towardsdatascience.com/training-a-neural-network-using-pytorch-72ab708da210	NULL	NULL		NULL		2019
18015	Text Classification with BERT using Transformers for long text inputs | by Dipansh Girdhar | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/text-classification-with-bert-using-transformers-for-long-text-inputs-f54833994dfd	NULL	NULL		NULL		2019
18016	Understanding Cost Function in Machine Learning | by Tasnuva Zaman | Towards Data Science	https://towardsdatascience.com/model-representation-and-cost-function-machine-learning-5f126c614948	NULL	NULL		NULL		2019
18017	A brief history of machine translation paradigms | by Teven Le Scao | HuggingFace | Medium	https://medium.com/huggingface/a-brief-history-of-machine-translation-paradigms-d5c09d8a5b7e	NULL	NULL		NULL		2019
18019	NLP: Building Text Summarizer — Part 1 | by Ashish Singhal | DataPy.ai | Medium	https://medium.com/datapy-ai/nlp-building-text-summarizer-part-1-902fec337b81	NULL	NULL		NULL		2019
18020	NLP: Building Text Summarizer — Part 2 | by Ashish Singhal | DataPy.ai | Medium	https://medium.com/datapy-ai/nlp-building-text-summarizer-part-2-db9204dea8bf	NULL	NULL		NULL		2019
18021	Introduction to Convolutional Neural Networks	https://www.kdnuggets.com/2020/06/introduction-convolutional-neural-networks.html	NULL	NULL		NULL		2019
18023	Cheat Sheet for NLP: A Summary of My NLP Learning Journey So Far | by Jin Pu | Towards Data Science	https://towardsdatascience.com/cheat-sheet-for-nlp-a-summary-of-my-nlp-learning-journey-thus-far-6ee753943890	NULL	NULL		NULL		2019
18024	Introduction to Attention Mechanism in Deep Learning — ELI5 Way | by Niranjan Kumar | Towards Data Science	https://towardsdatascience.com/introduction-to-attention-mechanism-in-deep-learning-eli5-way-d6c2d799ef18	NULL	NULL		NULL		2019
18025	Support Vector Machines (SVM) clearly explained: A python tutorial for classification problems with 3D plots | by Serafeim Loukas | Towards Data Science	https://towardsdatascience.com/support-vector-machines-svm-clearly-explained-a-python-tutorial-for-classification-problems-29c539f3ad8	NULL	NULL		NULL		2019
18026	A Mathematical Explanation of Naive Bayes in 5 Minutes | by Terence S | Towards Data Science	https://towardsdatascience.com/a-mathematical-explanation-of-naive-bayes-in-5-minutes-44adebcdb5f8	NULL	NULL		NULL		2019
18027	Introduction to Encoder-Decoder Models — ELI5 Way | by Niranjan Kumar | Towards Data Science	https://towardsdatascience.com/introduction-to-encoder-decoder-models-eli5-way-2eef9bbf79cb	NULL	NULL		NULL		2019
18028	Long Short Term Memory and Gated Recurrent Unit’s Explained — ELI5 Way | by Niranjan Kumar | Towards Data Science	https://towardsdatascience.com/long-short-term-memory-and-gated-recurrent-units-explained-eli5-way-eff3d44f50dd	NULL	NULL		NULL		2019
18029	Recurrent Neural Networks (RNN) Explained — the ELI5 way | by Niranjan Kumar | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-rnn-explained-the-eli5-way-3956887e8b75	NULL	NULL		NULL		2019
18030	Introduction to Sequence Modeling Problems | by Niranjan Kumar | Towards Data Science	https://towardsdatascience.com/introduction-to-sequence-modeling-problems-665817b7e583	NULL	NULL		NULL		2019
18035	Pretrained Word Embeddings | Word Embedding NLP	https://www.analyticsvidhya.com/blog/2020/03/pretrained-word-embeddings-nlp/	NULL	NULL		NULL		2020
18036	The relationship between Perplexity and Entropy in NLP | by Ravi Charan | Towards Data Science	https://towardsdatascience.com/the-relationship-between-perplexity-and-entropy-in-nlp-f81888775ccc	NULL	NULL		NULL		2019
18037	Convolutional Neural Networks' mathematics | The Startup	https://medium.com/swlh/convolutional-neural-networks-mathematics-1beb3e6447c0	NULL	NULL		NULL		2019
18038	Understanding Convolutional Neural Networks | by Adel Nehme | Towards Data Science	https://towardsdatascience.com/understanding-convolutional-neural-networks-221930904a8e	NULL	NULL		NULL		2019
18039	PCA clearly explained —When, Why, How to use it and feature importance: A guide in Python | by Serafeim Loukas | Towards Data Science	https://towardsdatascience.com/pca-clearly-explained-how-when-why-to-use-it-and-feature-importance-a-guide-in-python-7c274582c37e	NULL	NULL		NULL		2019
18040	The mathematical foundations of probability | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/the-mathematical-foundations-of-probability-beb8d8426651	NULL	NULL		NULL		2019
18041	   How to generate text: using different decoding methods for language generation with Transformers 	https://huggingface.co/blog/how-to-generate?utm_campaign=NLP%20News&utm_medium=email	NULL	NULL		NULL		2019
18042	Nai?ve Bayes Algorithm — Everything you need to know | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/na%C3%AFve-bayes-algorithm-everything-you-need-to-know-9bf3104b78e5	NULL	NULL		NULL		2019
18043	Deep Learning for NLP: Word Embeddings | by Jaime Zornoza | Towards Data Science	https://towardsdatascience.com/deep-learning-for-nlp-word-embeddings-4f5c90bcdab5	NULL	NULL		NULL		2019
18045	The Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP) | by James Montantes | Towards Data Science	https://towardsdatascience.com/the-unreasonable-progress-of-deep-neural-networks-in-natural-language-processing-nlp-374443b21b00	NULL	NULL		NULL		2019
18046	Intuitively, How Can We Understand Different Classification Algorithms Principles | by Angela Shi | Towards Data Science	https://towardsdatascience.com/intuitively-how-can-we-understand-different-classification-algorithms-principles-d45cf8ef54e3	NULL	NULL		NULL		2019
18047	From GRU to Transformer - Sewade Ogun's Website	https://ogunlao.github.io/blog/2020/06/12/from_gru_to_transformer.html	NULL	NULL		NULL		2019
18048	An introduction to Deep Similarity Learning for sequences | by Thomas Di Martino | Towards Data Science	https://towardsdatascience.com/introduction-to-deep-similarity-learning-for-sequences-89d9c26f8392	NULL	NULL		NULL		2019
18050	BLEU-BERT-y: Comparing sentence scores | by Gergely D. Ne?meth | Towards Data Science	https://towardsdatascience.com/bleu-bert-y-comparing-sentence-scores-307e0975994d	NULL	NULL		NULL		2019
18051	RNN and LSTM — The Neural Networks with Memory | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/rnn-and-lstm-the-neural-networks-with-memory-24e4cb152d1b	NULL	NULL		NULL		2019
18053	Building a Feedforward Neural Network using Pytorch NN Module	https://www.marktechpost.com/2019/06/30/building-a-feedforward-neural-network-using-pytorch-nn-module/	NULL	NULL		NULL		2019
18054	Vanilla VQA. An introduction to Visual Question... | by Aniruddha Kembhavi | AI2 Blog | Medium	https://medium.com/ai2-blog/vanilla-vqa-adcaaaa94336	NULL	NULL		NULL		2019
18055	Pointer Networks, Attention models, Applications | Towards Data Science	https://medium.com/@asking28/understanding-pointer-networks-81fbbc1ddbc8	NULL	NULL		NULL		2019
18056	Brief Introduction to Attention Models | by Abhishek Singh | Towards Data Science	https://towardsdatascience.com/attention-networks-c735befb5e9f	NULL	NULL		NULL		2019
18057	Populating a Network Graph with Named-Entities | by Ednalyn C. De Dios | Towards Data Science	https://towardsdatascience.com/populating-a-network-graph-with-named-entities-fb8e3d2a380f	NULL	NULL		NULL		2019
18061	Audio Data Analysis Using Deep Learning with Python (Part 1) | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/audio-data-analysis-using-deep-learning-part-1-7f6e08803f60	NULL	NULL		NULL		2019
18062	Audio Data Analysis Using Deep Learning with Python (Part 2) | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/audio-data-analysis-using-deep-learning-with-python-part-2-4a1f40d3708d	NULL	NULL		NULL		2019
18063	Decision Tree Algorithm — Explained | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/decision-tree-algorithm-explained-83beb6e78ef4	NULL	NULL		NULL		2019
18064	Introduction to Artificial Neural Networks(ANN) | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/introduction-to-artificial-neural-networks-ann-1aea15775ef9	NULL	NULL		NULL		2019
18065	Classifying Heart Disease Using K-Nearest Neighbors | by Nagesh Singh Chauhan | Towards Data Science	https://towardsdatascience.com/implement-k-nearest-neighbors-classification-algorithm-c99be8f14052	NULL	NULL		NULL		2019
18067	Web Scraping using python BeautifulSoup | by Nagesh Singh Chauhan | DataSeries | Medium	https://medium.com/dataseries/scrap-multiple-websites-and-extract-contact-information-from-each-of-them-using-python-267346bd367	NULL	NULL		NULL		2019
18069	Computing the Jacobian matrix of a neural network in Python | by Julien Herzen | Unit8 - Big Data & AI | Medium	https://medium.com/unit8-machine-learning-publication/computing-the-jacobian-matrix-of-a-neural-network-in-python-4f162e5db180	NULL	NULL		NULL		2019
18070	K Nearest Neighbor as a Neural Network - Sewade Ogun's Website	https://ogunlao.github.io/2020/05/23/knn-as-a-neural-network.html	NULL	NULL		NULL		2019
18071	An In-Depth Probability Crash Course for Data Science | by Terence S | Towards Data Science	https://towardsdatascience.com/a-probability-crash-course-for-data-science-cd4b4fae03bc	NULL	NULL		NULL		2019
18072	Deep Walk: The overlooked lovechild of NLP and graph data structures | by Jacob Moore | Towards Data Science	https://towardsdatascience.com/deep-walk-the-overlooked-lovechild-of-nlp-and-graph-data-structures-657793831800	NULL	NULL		NULL		2019
18073	Implementation of Principal Component Analysis from scratch | by Navoneel Chakrabarty | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/implementation-of-principal-component-analysis-from-scratch-df07c39128a8	NULL	NULL		NULL		2019
18074	How do Natural Language Processing systems work? | by Magnimind | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/how-do-natural-language-processing-systems-work-1290d98dfa97	NULL	NULL		NULL		2019
18075	Expectation-Maximization (EM) Algorithm: Solving a Chicken and Egg Problem | by Matthew P. Burruss | Towards Data Science	https://towardsdatascience.com/solving-a-chicken-and-egg-problem-expectation-maximization-em-c717547c3be2	NULL	NULL		NULL		2019
18077	Natural Language Understanding with Sequence to Sequence Models | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/natural-language-understanding-with-sequence-to-sequence-models-e87d41ad258b	NULL	NULL		NULL		2019
18078	BERT NLP — How To Build a Question Answering Bot | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/bert-nlp-how-to-build-a-question-answering-bot-98b1d1594d7b	NULL	NULL		NULL		2019
18079	Topic Modeling Tutorial with Latent Dirichlet Allocation (LDA) | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/topic-modeling-with-latent-dirichlet-allocation-by-example-3b22cd10c835	NULL	NULL		NULL		2019
18081	Evaluation Metrics for Textual Problems | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/evaluation-metrics-for-textual-problems-6e881feef5ad	NULL	NULL		NULL		2019
18082	A collection of must known resources for every Natural Language Processing (NLP) practitioner | by Nikhil Jaiswal | Towards Data Science	https://towardsdatascience.com/a-collection-of-must-known-pre-requisite-resources-for-every-natural-language-processing-nlp-a18df7e2e027	NULL	NULL		NULL		2019
18083	Karate Club a Python library for graph representation learning | by Benedek Rozemberczki | Towards Data Science	https://towardsdatascience.com/karate-club-a-python-library-for-graph-representation-learning-e70857112476	NULL	NULL		NULL		2019
18084	Softmax Activation Function Explained | by Dario Radec?ic? | Towards Data Science	https://towardsdatascience.com/softmax-activation-function-explained-a7e1bc3ad60	NULL	NULL		NULL		2019
18085	The Singular Value Decomposition without Algebra | by Ravi Charan | Towards Data Science	https://towardsdatascience.com/the-singular-value-decomposition-without-algebra-ae10147aab4c	NULL	NULL		NULL		2019
18086	OpenAI GPT-3: Language Models are Few-Shot Learners | by Soheil Tehranipour | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/openai-gpt-3-language-models-are-few-shot-learners-82531b3d3122	NULL	NULL		NULL		2019
18087	Feedforward Networks — Part 1. Why do we need Deep Learning? | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-feedforward-networks-part-1-e74db01e54a8	NULL	NULL		NULL		2019
18088	Feedforward Networks — Part 2. How can Networks actually be trained? | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-feedforward-networks-part-2-c91b53a4d211	NULL	NULL		NULL		2019
18089	Introduction — Part 1. Motivation & High Profile Applications | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-introduction-part-1-5a1729abd580	NULL	NULL		NULL		2019
18090	Introduction — Part 2. Highlights at FAU | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-introduction-part-2-acabbb3ad22	NULL	NULL		NULL		2019
18091	Introduction — Part 3. Limitations of Deep Learning and Future... | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-introduction-part-3-22142caad28a	NULL	NULL		NULL		2019
18092	Introduction — Part 4. A short course in Pattern Recognition | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-introduction-part-4-2e86af0498ce	NULL	NULL		NULL		2019
18093	Introduction — Part 5. Exercises & Outlook | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-introduction-part-5-a3b9faacd313	NULL	NULL		NULL		2019
18094	Naive Bayes Document Classification in Python | by Kelly Epley | Towards Data Science	https://towardsdatascience.com/naive-bayes-document-classification-in-python-e33ff50f937e	NULL	NULL		NULL		2019
18097	Roadmap to Natural Language Processing (NLP) | by Pier Paolo Ippolito | Towards Data Science	https://towardsdatascience.com/roadmap-to-natural-language-processing-nlp-38a81dcff3a6	NULL	NULL		NULL		2019
18098	Learning a useful representation for words | by Davide Fiorino | DeepDreaming | Medium	https://medium.com/deepdreaming/learning-a-useful-representation-for-words-34576693a3a4	NULL	NULL		NULL		2019
18099	Principal Component Analysis (PCA) from scratch in Python | by Dario Radec?ic? | Towards Data Science	https://towardsdatascience.com/principal-component-analysis-pca-from-scratch-in-python-7f3e2a540c51	NULL	NULL		NULL		2019
18100	403 Forbidden	https://machinelearningmastery.com/rectified-linear-activation-function-for-deep-learning-neural-networks/	NULL	NULL		NULL		2019
18101	Exploring Textual Data using LDA. Introduction | by Ekene A. | Towards Data Science	https://towardsdatascience.com/exploring-textual-data-using-lda-ef1f53c772a4	NULL	NULL		NULL		2019
18103	The Most Important Fundamentals of PyTorch you Should Know	https://www.kdnuggets.com/2020/06/fundamentals-pytorch.html	NULL	NULL		NULL		2019
18104	How to Explain HuggingFace BERT for Question Answering NLP Models with TF 2.0 | by Victor Dibia | Towards Data Science	https://towardsdatascience.com/explainbertqa-687abe3b2fcc	NULL	NULL		NULL		2019
18105	Simple Explanation of Transformers in NLP | by Renu Khandelwal | Towards Data Science	https://towardsdatascience.com/simple-explanation-of-transformers-in-nlp-da1adfc5d64f	NULL	NULL		NULL		2019
18106	Should AI explain itself? or should we design Explainable AI so that it doesn’t have to | by Prajwal Paudyal | Towards Data Science	https://towardsdatascience.com/should-ai-explain-itself-or-should-we-design-explainable-ai-so-that-it-doesnt-have-to-90e75bb6089e	NULL	NULL		NULL		2019
18107	L1 and L2 Regularization Methods. Machine Learning | by Anuja Nagpal | Towards Data Science	https://towardsdatascience.com/l1-and-l2-regularization-methods-ce25e7fc831c	NULL	NULL		NULL		2019
18109	403 Forbidden	https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/	NULL	NULL		NULL		2019
18111	A Visual Primer to Linear Regression | by David S. Fulford | Towards Data Science	https://towardsdatascience.com/a-visual-primer-to-linear-regression-86adafa45e95	NULL	NULL		NULL		2019
18112	Abstractive Text Summarization Using Transformers | by Rohan Jagtap | The Startup | Medium	https://medium.com/swlh/abstractive-text-summarization-using-transformers-3e774cc42453	NULL	NULL		NULL		2019
18113	GitHub - graykode/nlp-roadmap: ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP	https://github.com/graykode/nlp-roadmap#probability--statistics	NULL	NULL		NULL		2019
18114	BERT for dummies — Step by Step Tutorial | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/bert-for-dummies-step-by-step-tutorial-fb90890ffe03	NULL	NULL		NULL		2019
18115	The Annotated GPT-2 | Committed towards better future	https://amaarora.github.io/2020/02/18/annotatedGPT2.html	NULL	NULL		NULL		2020
18116	Deep Learning Models for Automatic Summarization | by Pirmin Lemberger | Towards Data Science	https://towardsdatascience.com/deep-learning-models-for-automatic-summarization-4c2b89f2a9ea	NULL	NULL		NULL		2019
18117	Syntactic Processing for NLP. In this part of the series, we will... | by Ishan Singh | Towards Data Science	https://towardsdatascience.com/syntactic-processing-for-nlp-e88e2eb4fa35	NULL	NULL		NULL		2019
18118	8 Advanced Python Tricks Used by Seasoned Programmers | by Erik van Baaren | Towards Data Science	https://towardsdatascience.com/8-advanced-python-tricks-used-by-seasoned-programmers-757804975802	NULL	NULL		NULL		2019
18122	The Simple Approach to Word Embedding for Natural Language Processing using Python | by Eric Kleppen | Towards Data Science	https://towardsdatascience.com/the-simple-approach-to-word-embedding-for-natural-language-processing-using-python-ae028c8dbfd2	NULL	NULL		NULL		2019
18123	Evolution of Natural Language Generation | by Abhishek Sunnak | SFU Professional Master’s Program in Computer Science | Medium	https://medium.com/sfu-cspmp/evolution-of-natural-language-generation-c5d7295d6517	NULL	NULL		NULL		2019
18124	How Much Math do I need in Data Science? | by Benjamin Obi Tayo Ph.D. | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/how-much-math-do-i-need-in-data-science-d05d83f8cb19	NULL	NULL		NULL		2019
18126	The essential guide to how NLP works | by Riti Dass | Predict | Medium	https://medium.com/predict/the-essential-guide-to-how-nlp-works-5a4684c3f7d5	NULL	NULL		NULL		2019
18127	The Method of Lagrange Multipliers | by Panda the Red | Cantor’s Paradise | Jul, 2020 | Medium	https://medium.com/cantors-paradise/the-method-of-lagrange-multipliers-85da7ae86799	NULL	NULL		NULL		2019
18128	An Integrals Crash Course. A fundamental building block to... | by Terence S | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/an-integrals-crash-course-for-data-science-cf6e6dd7c046	NULL	NULL		NULL		2019
18129	Applications Of Natural Language Processing (NLP)	https://www.analyticsvidhya.com/blog/2020/07/top-10-applications-of-natural-language-processing-nlp/	NULL	NULL		NULL		2020
18130	12 Python Tips and Tricks For Writing Better Code | by Pavel Tech | Towards Data Science	https://towardsdatascience.com/12-python-tips-and-tricks-for-writing-better-code-b57e7eea580b	NULL	NULL		NULL		2019
18131	Finally, an intuitive explanation of why ReLU works | by Andre Ye | Towards Data Science	https://medium.com/analytics-vidhya/if-rectified-linear-units-are-linear-how-do-they-add-nonlinearity-40247d3e4792	NULL	NULL		NULL		2019
18132	The Jewel of the Matrix: A Deep Dive Into Eigenvalues & Eigenvectors | by Andre Ye | Towards Data Science	https://towardsdatascience.com/the-jewel-of-the-matrix-a-deep-dive-into-eigenvalues-eigenvectors-22f1c8da11fd	NULL	NULL		NULL		2019
18133	Calculus for the Beginner— Building Calculus, Piece by Piece | by Andre Ye | The Startup | Medium	https://towardsdatascience.com/calculus-for-the-beginner-building-calculus-piece-by-piece-9370f158ee89	NULL	NULL		NULL		2019
18134	GitHub - balavenkatesh3322/CV-pretrained-model: A collection of computer vision pre-trained models.	https://github.com/balavenkatesh3322/CV-pretrained-model	NULL	NULL		NULL		2019
18135	A Quick Primer on Named Entity Recognition | by John Naujoks | The Startup | Medium	https://medium.com/swlh/a-quick-primer-on-named-entity-recognition-4df579c478e5	NULL	NULL		NULL		2019
18136	Text Classification with NLP: Tf-Idf vs Word2Vec vs BERT | by Mauro Di Pietro | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/text-classification-with-nlp-tf-idf-vs-word2vec-vs-bert-41ff868d1794	NULL	NULL		NULL		2019
18137	Do You Understand Gradient Descent and Backpropagation? Most Don’t. | by Michel Kana, Ph.D | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/do-you-understand-gradient-descent-and-backpropagation-most-dont-929d65f57a6c	NULL	NULL		NULL		2019
18138	You Don’t Understand Neural Networks Until You Understand the Universal Approximation Theorem | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/you-dont-understand-neural-networks-until-you-understand-the-universal-approximation-theorem-85b3e7677126	NULL	NULL		NULL		2019
18139	The keys of Deep Learning in 100 lines of code | by Javier Ideami | Towards Data Science	https://towardsdatascience.com/the-keys-of-deep-learning-in-100-lines-of-code-907398c76504	NULL	NULL		NULL		2019
18140	Coding a 2 layer neural network from scratch in Python | by Javier Ideami | Towards Data Science	https://towardsdatascience.com/coding-a-2-layer-neural-network-from-scratch-in-python-4dd022d19fd2	NULL	NULL		NULL		2019
18141	Predict malignancy in cancer tumors with your own neural network | by Javier Ideami | Towards Data Science	https://towardsdatascience.com/predict-malignancy-in-breast-cancer-tumors-with-your-own-neural-network-and-the-wisconsin-dataset-76271a05e941	NULL	NULL		NULL		2019
18142	The Most Important Fundamentals of PyTorch you Should Know - Exxact	https://blog.exxactcorp.com/the-most-important-fundamentals-of-pytorch-you-should-know/	NULL	NULL		NULL		2019
18143	Building A Mental Model for Backpropagation | by Logan Yang | Towards Data Science	https://towardsdatascience.com/building-a-mental-model-for-backpropagation-987ac74d1821	NULL	NULL		NULL		2019
18144	[Text-to-SQL] Learning to query tables with natural language | by Aerin Kim | Medium	https://medium.com/@aerinykim/text-to-sql-learning-to-query-tables-with-natural-language-7d714e60a70d	NULL	NULL		NULL		2019
18145	Debugging your Neural Nets and checking your Gradients | by Rishit Dagli | Towards Data Science	https://towardsdatascience.com/debugging-your-neural-nets-and-checking-your-gradients-f4d7f55da167	NULL	NULL		NULL		2019
18146	Dismantling Neural Networks to Understand the Inner Workings with Math and Pytorch | by Mehdi Amine | Towards Data Science	https://towardsdatascience.com/dismantling-neural-networks-to-understand-the-inner-workings-with-math-and-pytorch-beac8760b595	NULL	NULL		NULL		2019
18147	Intuitively, How Can We (Better) Understand Logistic Regression | by Angela Shi | Towards Data Science	https://towardsdatascience.com/intuitively-how-can-we-better-understand-logistic-regression-97af9e77e136	NULL	NULL		NULL		2019
18148	Intuitively, How Can We build Non-Linear Classifiers | by Angela Shi | Towards Data Science	https://towardsdatascience.com/intuitively-how-can-we-build-non-linear-classifiers-10c381ed633e	NULL	NULL		NULL		2019
18149	Intuitively, How Do Neural Networks Work? | by Angela Shi | Towards Data Science	https://towardsdatascience.com/intuitively-how-do-neural-networks-work-d7710b602e51	NULL	NULL		NULL		2019
18151	A Visual Explanation of Gradient Descent Methods (Momentum, AdaGrad, RMSProp, Adam) | by Lili Jiang | Towards Data Science	https://towardsdatascience.com/a-visual-explanation-of-gradient-descent-methods-momentum-adagrad-rmsprop-adam-f898b102325c	NULL	NULL		NULL		2019
18152	Deep Learning's mathematics | The Startup	https://medium.com/swlh/deep-learnings-mathematics-f52b3c4d2576	NULL	NULL		NULL		2019
18155	Learn Hugging Face Transformers & BERT with PyTorch in 5 Minutes | by Kung-Hsiang, Huang (Steeve) | Rosetta.ai Blog	https://blog.rosetta.ai/learn-hugging-face-transformers-bert-with-pytorch-in-5-minutes-acee1e3be63d	NULL	NULL		NULL		2019
18156	Inverting A Matrix: Gaussian Elimination & Row Echelon Form	https://mlfromscratch.com/gaussian-elimination/#/	NULL	NULL		NULL		2020
18157	Dimensionality Reduction: Principal Component Analysis (PCA) | by Nagesh Singh Chauhan | Level Up Coding	https://levelup.gitconnected.com/dimensionality-reduction-principal-component-analysis-pca-d59bc1fed3dd	NULL	NULL		NULL		2019
18158	exBERT	http://exbert.net/	NULL	NULL		NULL		2019
18159	Another Dive into PCA in a Practical View | by Tony Zhou | Towards Data Science	https://towardsdatascience.com/another-dive-into-pca-in-a-practical-view-711251f37807	NULL	NULL		NULL		2019
18160	Stochastic Gradient Descent for machine learning clearly explained | by Baptiste Monpezat | Towards Data Science	https://towardsdatascience.com/stochastic-gradient-descent-for-machine-learning-clearly-explained-cadcc17d3d11	NULL	NULL		NULL		2019
18161	403 Forbidden	http://datahacker.rs/linear-algebra-for-machine-learning/	NULL	NULL		NULL		2019
18162	Illustrated Guide to Transformers | by Jingles (Hong Jing) | Towards Data Science	https://towardsdatascience.com/illustrated-guide-to-transformer-cf6969ffa067	NULL	NULL		NULL		2019
18163	Fairseq: A Fast, Extensible Toolkit for Sequence Modeling | MarkTechPost	https://www.marktechpost.com/2019/12/29/fairseq-a-fast-extensible-toolkit-for-sequence-modeling/	NULL	NULL		NULL		2019
18166	Tutorial: Simple LSTM — fairseq 0.9.0 documentation	https://fairseq.readthedocs.io/en/latest/tutorial_simple_lstm.html	NULL	NULL		NULL		2019
18170	Why are neural networks so powerful? | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/why-are-neural-networks-so-powerful-bc308906696c	NULL	NULL		NULL		2019
18171	Building a LSTM by hand on PyTorch | by Piero Esposito | Towards Data Science	https://towardsdatascience.com/building-a-lstm-by-hand-on-pytorch-59c02a4ec091	NULL	NULL		NULL		2019
18172	Forward propagation in neural networks — Simplified math and code version | by vikashraj luhaniwal | Towards Data Science	https://towardsdatascience.com/forward-propagation-in-neural-networks-simplified-math-and-code-version-bbcfef6f9250	NULL	NULL		NULL		2019
18176	Hugging Face Transformers — How to use Pipelines? | by Harsh Bathia | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/hugging-face-transformers-how-to-use-pipelines-10775aa3db7e	NULL	NULL		NULL		2019
18177	Understanding T5 Model : Text to Text Transfer Transformer Model | by Prakhar Mishra | Towards Data Science	https://towardsdatascience.com/understanding-t5-model-text-to-text-transfer-transformer-model-69ce4c165023	NULL	NULL		NULL		2019
18179	NLP Pipelines in a single line of code | by Rahul Madan | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/nlp-pipelines-in-a-single-line-of-code-500b3266ac7b	NULL	NULL		NULL		2019
18180	Asking the Right Questions: Training a T5 Transformer Model on a New task | by Thilina Rajapakse | Towards Data Science	https://towardsdatascience.com/asking-the-right-questions-training-a-t5-transformer-model-on-a-new-task-691ebba2d72c	NULL	NULL		NULL		2019
18181	Building My Neural Network From Scratch | by Tracy Chang | Towards Data Science	https://towardsdatascience.com/building-my-neural-network-from-scratch-cbb97321cb8f	NULL	NULL		NULL		2019
18182	Automatic Differentiation, Explained | by Chi-Feng Wang | Towards Data Science	https://towardsdatascience.com/automatic-differentiation-explained-b4ba8e60c2ad	NULL	NULL		NULL		2019
18183	Natural Language Processing Advancements By Deep Learning: A Survey | by Akshaya Nagarajan | The Startup | Medium	https://medium.com/swlh/natural-language-processing-advancements-by-deep-learning-a-survey-b53032c4b5bc	NULL	NULL		NULL		2019
18184	Understanding Backpropagation Algorithm | by Simeon Kostadinov | Towards Data Science	https://towardsdatascience.com/understanding-backpropagation-algorithm-7bb3aa2f95fd	NULL	NULL		NULL		2019
18185	BERT Research - Ep. 1 - Key Concepts & Sources · Chris McCormick	https://mccormickml.com/2019/11/11/bert-research-ep-1-key-concepts-and-sources/	NULL	NULL		NULL		2019
18186	GLUE Explained: Understanding BERT Through Benchmarks · Chris McCormick	https://mccormickml.com/2019/11/05/GLUE/	NULL	NULL		NULL		2019
18187	A gentle introduction to Embedding Trees and Graphs (with code) | by Mohammed Terry-Jack | Wluper Blog | Medium	https://medium.com/wluper/a-gentle-introduction-to-embedding-trees-and-graphs-with-code-92dc3b6b6ec7	NULL	NULL		NULL		2019
18188	Understanding ELECTRA and Training an ELECTRA Language Model | by Thilina Rajapakse | Towards Data Science	https://towardsdatascience.com/understanding-electra-and-training-an-electra-language-model-3d33e3a9660d	NULL	NULL		NULL		2019
18190	Recurrent Neural Networks (RNN): Deep Learning for Sequential Data	https://blog.exxactcorp.com/recurrent-neural-networks-rnn-deep-learning-for-sequential-data/	NULL	NULL		NULL		2019
18192	A Deep Dive Into the Transformer Architecture — The Development of Transformer Models | by James Montantes | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models-acbdf7ca34e0	NULL	NULL		NULL		2019
18193	Do we need deep graph neural networks? | by Michael Bronstein | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/do-we-need-deep-graph-neural-networks-be62d3ec5c59	NULL	NULL		NULL		2019
18194	Transformers in Natural Language Processing — A Brief Survey | Eigenfoo	https://eigenfoo.xyz/transformers-in-nlp/	NULL	NULL		NULL		2020
18195	Expectation Maximization Explained | by Ravi Charan | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/expectation-maximization-explained-c82f5ed438e5	NULL	NULL		NULL		2019
18196	Detecting Document Similarity With Doc2vec | by Omar Sharaki | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/detecting-document-similarity-with-doc2vec-f8289a9a7db7	NULL	NULL		NULL		2019
18197	Support Vector Machine. A dive into the math behind the SVM... | by Victor Varaschin | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/support-vector-machine-803884d967e3	NULL	NULL		NULL		2019
18198	An Introduction to Deep Feedforward Neural Networks | by Reza Bagheri | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/an-introduction-to-deep-feedforward-neural-networks-1af281e306cd	NULL	NULL		NULL		2019
18199	Text Classification With PyTorch. A baseline model with LSTMs | by Fernando Lo?pez | Jul, 2020 | Towards Data Science	https://medium.com/swlh/text-classification-with-pytorch-7111dae111a6	NULL	NULL		NULL		2019
18200	Neural Networks From Scratch in Python & R | With Mathematics in Python	https://www.analyticsvidhya.com/blog/2020/07/neural-networks-from-scratch-in-python-and-r/	NULL	NULL		NULL		2020
18201	Understanding Entropy: the Golden Measurement of Machine Learning | by Andre Ye | Analytics Vidhya | Jul, 2020 | Medium	https://towardsdatascience.com/understanding-entropy-the-golden-measurement-of-machine-learning-4ea97c663dc3	NULL	NULL		NULL		2019
18202	Deep Dive Into Support Vector Machines | by Vardaan Bajaj | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/machine-learning-iv-support-vector-machines-kaggle-dataset-with-svms-57d7c885652a?fbclid=IwAR3SdD6cLRl3hl3ItUVVOriYMxJNJ61Sebi_sLVmZqwLjTCJAj0LZh4_IZk	NULL	NULL		NULL		2019
18203	Sentiment Analysis with BERT and Transformers by Hugging Face using PyTorch and Python | Curiousily - Hacker's Guide to Machine Learning	https://www.curiousily.com/posts/sentiment-analysis-with-bert-and-hugging-face-using-pytorch-and-python/	NULL	NULL		NULL		2019
18204	BERT Classifier: Just Another Pytorch Model | by Michael Sugimura | Towards Data Science	https://towardsdatascience.com/bert-classifier-just-another-pytorch-model-881b3cf05784	NULL	NULL		NULL		2019
18205	Lit BERT: NLP Transfer Learning In 3 Steps	https://www.kdnuggets.com/2019/11/lit-bert-nlp-transfer-learning-3-steps.html	NULL	NULL		NULL		2019
18206	Fine-tune GPT2 for Text Generation Using Pytorch | Towards Data Science	https://towardsdatascience.com/fine-tuning-gpt2-for-text-generation-using-pytorch-2ee61a4f1ba7	NULL	NULL		NULL		2019
18207	Building a QA System with BERT on Wikipedia | NLP for Question Answering	https://qa.fastforwardlabs.com/pytorch/hugging%20face/wikipedia/bert/transformers/2020/05/19/Getting_Started_with_QA.html	NULL	NULL		NULL		2020
18208	Recurrent Neural Networks for Dummies | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-explained-ffb9f94c5e09	NULL	NULL		NULL		2019
18209	The mathematics of optimization for deep learning | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/the-mathematics-of-optimization-for-deep-learning-11af2b1fda30	NULL	NULL		NULL		2019
18211	Sentiment Analysis API - Twinword Inc.	https://www.twinword.com/api/sentiment-analysis.php	NULL	NULL		NULL		2019
18212	A Survey of Long-Term Context in Transformers	https://www.pragmatic.ml/a-survey-of-methods-for-incorporating-long-term-context/	NULL	NULL		NULL		2020
18213	Sentiment Analysis | ParallelDots AI APIs	https://www.paralleldots.com/sentiment-analysis	NULL	NULL		NULL		2019
18214	Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python	https://www.kdnuggets.com/2020/04/simple-question-answering-systems-text-similarity-python.html	NULL	NULL		NULL		2019
18215	Pytorch Tutorial for Deep Learning Lovers | Kaggle	https://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers/notebook	NULL	NULL		NULL		2019
18216	An introduction to part-of-speech tagging and the Hidden Markov Model	https://www.freecodecamp.org/news/an-introduction-to-part-of-speech-tagging-and-the-hidden-markov-model-953d45338f24/	NULL	NULL		NULL		2018
18217	Logistic Regression - Deep Learning Wizard	https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_logistic_regression/	NULL	NULL		NULL		2019
18218	Not Acceptable!	https://www.anotsorandomwalk.com/backpropagation-example-with-numbers-step-by-step/	NULL	NULL		NULL		2019
18219	Regularization in Deep Learning — L1, L2, and Dropout | by Artem Oppermann | Towards Data Science	https://towardsdatascience.com/regularization-in-deep-learning-l1-l2-and-dropout-377e75acc036	NULL	NULL		NULL		2019
18220	Beating the baseline recommender using Graph & NLP | Towards Data Science	https://towardsdatascience.com/recommender-systems-applying-graph-and-nlp-techniques-619dbedd9ecc	NULL	NULL		NULL		2019
18221	Natural Language Processing: the Age of Transformers | by Olga Petrova | Towards Data Science	https://towardsdatascience.com/natural-language-processing-the-age-of-transformers-a36c0265937d	NULL	NULL		NULL		2019
18222	????Illustrating the Reformer. ???? ? The efficient Transformer | by Alireza Dirafzoon | Towards Data Science	https://towardsdatascience.com/illustrating-the-reformer-393575ac6ba0	NULL	NULL		NULL		2019
18223	Gradient Descent: Simply Explained? | by Koo Ping Shung | Towards Data Science	https://towardsdatascience.com/gradient-descent-simply-explained-1d2baa65c757	NULL	NULL		NULL		2019
18224	FROM Pre-trained Word Embeddings TO Pre-trained Language Models — Focus on BERT | by Adrien Sieg | Towards Data Science	https://towardsdatascience.com/from-pre-trained-word-embeddings-to-pre-trained-language-models-focus-on-bert-343815627598	NULL	NULL		NULL		2019
18225	Build an Open-Domain Question-Answering System With BERT in 3 Lines of Code | by Arun Maiya | Towards Data Science	https://towardsdatascience.com/build-an-open-domain-question-answering-system-with-bert-in-3-lines-of-code-da0131bc516b	NULL	NULL		NULL		2019
18226	Cross Entropy and KL Divergence — tdhopper.com	https://tdhopper.com/blog/cross-entropy-and-kl-divergence/	NULL	NULL		NULL		2019
18227	Tianlong's Blog - Hidden Markov Model and Part of Speech Tagging	https://stlong0521.github.io/20160319%20-%20HMM%20and%20POS.html	NULL	NULL		NULL		2019
18228	classification - Gradients of cross-entropy error in neural network - Cross Validated	https://stats.stackexchange.com/questions/201914/gradients-of-cross-entropy-error-in-neural-network	NULL	NULL		NULL		2016
18229	Introducing BART | TensorGoose	https://sshleifer.github.io/blog_v2/jupyter/2020/03/12/bart.html	NULL	NULL		NULL		2020
18230	Backpropagation in Neural Network (NN) with Python - Valentyn Sichkar	https://sichkar-valentyn.github.io/Backpropagation/	NULL	NULL		NULL		2019
18231	Not Acceptable!	https://sebastianraschka.com/faq/docs/visual-backpropagation.html	NULL	NULL		NULL		2019
18232	Not Acceptable!	https://sebastianraschka.com/faq/docs/softmax_regression.html	NULL	NULL		NULL		2019
18233	Not Acceptable!	https://sebastianraschka.com/faq/docs/softmax.html	NULL	NULL		NULL		2019
18234	Not Acceptable!	https://sebastianraschka.com/faq/docs/sgd-methods.html	NULL	NULL		NULL		2019
18235	Not Acceptable!	https://sebastianraschka.com/faq/docs/relu-derivative.html	NULL	NULL		NULL		2019
18236	Not Acceptable!	https://sebastianraschka.com/faq/docs/pearson-r-vs-linear-regr.html	NULL	NULL		NULL		2019
18237	Not Acceptable!	https://sebastianraschka.com/faq/docs/logistic-why-sigmoid.html	NULL	NULL		NULL		2019
18239	Not Acceptable!	https://sebastianraschka.com/faq/docs/logisticregr-neuralnet.html	NULL	NULL		NULL		2019
18240	Not Acceptable!	https://sebastianraschka.com/faq/docs/logistic_regression_linear.html	NULL	NULL		NULL		2019
18241	Not Acceptable!	https://sebastianraschka.com/faq/docs/linear-gradient-derivative.html	NULL	NULL		NULL		2019
18242	Not Acceptable!	https://sebastianraschka.com/faq/docs/closed-form-vs-gd.html	NULL	NULL		NULL		2019
18243	Not Acceptable!	https://sebastianraschka.com/faq/docs/backprop-arbitrary.html	NULL	NULL		NULL		2019
18244	A Neural Network Playground	https://playground.tensorflow.org/	NULL	NULL		NULL		2019
18245		https://opendatascience.com/neural-network-optimization/	NULL	NULL		NULL		2019
18246	Logistic Regression — ML Glossary  documentation	https://ml-cheatsheet.readthedocs.io/en/latest/logistic_regression.html	NULL	NULL		NULL		2019
18247	Calculus — ML Glossary  documentation	https://ml-cheatsheet.readthedocs.io/en/latest/calculus.html	NULL	NULL		NULL		2019
18249	Gradient calculation examples in PyTorch¶ | by Yang Zhang | Medium	https://medium.com/@zhang_yang/gradient-calculation-examples-in-pytorch-bffe287d8634	NULL	NULL		NULL		2019
18250	Automatic Differentiation. This post will present Automatic... | by rhome | Medium	https://medium.com/@rhome/automatic-differentiation-26d5a993692b	NULL	NULL		NULL		2019
18251	Derivation of Back Propagation with Cross Entropy | by Chetan Patil | Medium	https://medium.com/@pchetan481/derivation-of-back-propagation-with-cross-entropy-7ac0f63c8c28	NULL	NULL		NULL		2019
18252	Zero To One For NLP. All the best NLP resources out there | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/nlp-metablog-a-blog-of-blogs-693e3a8f1e0c	NULL	NULL		NULL		2019
18253	PyTorch For NLP. Let’s get rocking | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/get-pro-in-pytorch-for-nlp-60352b51fa1e	NULL	NULL		NULL		2019
18254	Logistic Regression from scratch in Python | by Marti?n Pellarolo | Medium	https://medium.com/@martinpella/logistic-regression-from-scratch-in-python-124c5636b8ac	NULL	NULL		NULL		2019
18255	Building a Bigram Hidden Markov Model for Part-Of-Speech Tagging | by Aaron Wong | HackerNoon.com | Medium	https://medium.com/hackernoon/building-a-bigram-hidden-markov-model-for-part-of-speech-tagging-1b784a87ab2c	NULL	NULL		NULL		2019
18256	Lecture Notes: Neural Networks and Deep Learning | by Daniel Wu | Medium	https://medium.com/@danielwu3/lecture-notes-neural-networks-and-deep-learning-1a5f86e3d73a	NULL	NULL		NULL		2019
18257	An Illustrated Guide to Graph Neural Networks | by Rishabh Anand | dair.ai | Medium	https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783	NULL	NULL		NULL		2019
18258	Fine-tuning Bert for Abstractive Summarisation with the Curation Dataset | by Henry Dashwood | Curation Corporation | Medium	https://medium.com/curation-corporation/fine-tuning-bert-for-abstractive-summarisation-with-the-curation-dataset-79ea4b40a923	NULL	NULL		NULL		2019
18259	spaCy Tutorial to Learn and Master Natural Language Processing (NLP) | by Prateek Joshi | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/spacy-tutorial-to-learn-and-master-natural-language-processing-nlp-db6703d0a751	NULL	NULL		NULL		2019
18260	Journey From Principle Component Analysis To Autoencoders | by ASHISH RANA | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/journey-from-principle-component-analysis-to-autoencoders-e60d066f191a	NULL	NULL		NULL		2019
18261	Day 6 — Naive Bayes Classifier. Today we’ll learn a basic classifier... | by Tzu-Chi Lin | 30 days of Machine Learning | Medium	https://medium.com/30-days-of-machine-learning/day-6-naive-bayes-classifier-9b8bacb3a2aa	NULL	NULL		NULL		2019
18262	Day 5 — Entropy, Relative Entropy, and Cross Entropy | by Tzu-Chi Lin | 30 days of Machine Learning | Medium	https://medium.com/30-days-of-machine-learning/day-5-entropy-relative-entropy-and-cross-entropy-8369d67cc180	NULL	NULL		NULL		2019
18263	Day 4 — Logistic Regression. Today we’ll focus on a simple... | by Tzu-Chi Lin | 30 days of Machine Learning | Medium	https://medium.com/30-days-of-machine-learning/day-4-logistic-regression-df9a7a2220cd	NULL	NULL		NULL		2019
18264	Gradient descent on a Softmax cross-entropy cost function	https://madalinabuzau.github.io/2016/11/29/gradient-descent-on-a-softmax-cross-entropy-cost-function.html	NULL	NULL		NULL		2016
18265	403 Forbidden	https://machinelearningmastery.com/cross-entropy-for-machine-learning/	NULL	NULL		NULL		2019
18266	Explainable AI Demos	https://lrpserver.hhi.fraunhofer.de/text-classification	NULL	NULL		NULL		2019
18267	The Transformer Family	https://lilianweng.github.io/lil-log/2020/04/07/the-transformer-family.html	NULL	NULL		NULL		2020
18268	Deriving the Gradient for Neural Network Back-Propagation with Cross-Entropy Error | James D. McCaffrey	https://jamesmccaffrey.wordpress.com/2016/12/14/deriving-the-gradient-for-neural-network-back-propagation-with-cross-entropy-error/	NULL	NULL		NULL		2019
18269	The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time.	https://jalammar.github.io/illustrated-bert/	NULL	NULL		NULL		2019
18270	   How to generate text: using different decoding methods for language generation with Transformers 	https://huggingface.co/blog/how-to-generate	NULL	NULL		NULL		2019
18271	Backpropagation Step by Step	https://hmkcode.com/ai/backpropagation-step-by-step/	NULL	NULL		NULL		2019
18272	Connections: Log Likelihood, Cross Entropy, KL Divergence, Logistic Regression, and Neural Networks – Glass Box	https://glassboxmedicine.com/2019/12/07/connections-log-likelihood-cross-entropy-kl-divergence-logistic-regression-and-neural-networks/	NULL	NULL		NULL		2019
18273	GitHub - Machine-Learning-Tokyo/Interactive_Tools: Interactive Tools for Machine Learning, Deep Learning and Math	https://github.com/Machine-Learning-Tokyo/Interactive_Tools	NULL	NULL		NULL		2019
18274	GitHub - google-research/text-to-text-transfer-transformer: Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"	https://github.com/google-research/text-to-text-transfer-transformer	NULL	NULL		NULL		2019
18275	GitHub - dragomirradev/bertviz: Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)	https://github.com/dragomirradev/bertviz	NULL	NULL		NULL		2019
18276	The Softmax function and its derivative - Eli Bendersky's website	https://eli.thegreenplace.net/2016/the-softmax-function-and-its-derivative	NULL	NULL		NULL		2019
18277	AllenNLP - Demo	https://demo.allennlp.org/sentiment-analysis	NULL	NULL		NULL		2019
18278	DeepNotes | Deep Learning Demystified	https://deepnotes.io/softmax-crossentropy	NULL	NULL		NULL		2019
18279	An Illustrated Guide to Graph Neural Networks – dair.ai	https://dair.ai/An_Illustrated_Guide_to_Graph_Neural_Networks/	NULL	NULL		NULL		2020
18280	ConvNetJS demo: Classify toy 2D data	https://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html	NULL	NULL		NULL		2019
18281	Tokenizers: How machines read	https://blog.floydhub.com/tokenization-nlp	NULL	NULL		NULL		2020
18282	A Simple Introduction to Kullback-Leibler Divergence Through Python Code – Ashish Bansal's Blog	https://bigdatascientistblog.wordpress.com/2017/09/11/a-simple-introduction-to-kullback-leibler-divergence-through-python-code/	NULL	NULL		NULL		2017
18283	Visual Paper Summary: ALBERT (A Lite BERT)	https://amitness.com/2020/02/albert-visual-summary/	NULL	NULL		NULL		2020
18284	Not Acceptable!	https://adventuresinmachinelearning.com/cross-entropy-kl-divergence/	NULL	NULL		NULL		2019
18285	Deep Learning - Cross Entropy Loss Derivative | Machine Learning Mechanic - a blog by Roei Bahumi	http://machinelearningmechanic.com/deep_learning/2019/09/04/cross-entropy-loss-derivative.html	NULL	NULL		NULL		2019
18287	403 Forbidden	http://datahacker.rs/shallow-neural-network-gradient-desecent/	NULL	NULL		NULL		2019
18288	3.4. Softmax Regression — Dive into Deep Learning 0.14.3 documentation	http://d2l.ai/chapter_linear-networks/softmax-regression.html	NULL	NULL		NULL		2019
18291	Redirecting...	http://www.awebb.info/blog/cross_entropy	NULL	NULL		NULL		2019
18292	A 'Brief' History of Neural Nets and Deep Learning – Andrey Kurenkov's Web World	http://www.andreykurenkov.com/writing/ai/a-brief-history-of-neural-nets-and-deep-learning/	NULL	NULL		NULL		2015
18293	The Unreasonable Effectiveness Of Neural Machine Translation: A Breakthrough In Temporal Expression Understanding - x.ai	https://x.ai/blog/the-unreasonable-effectiveness-of-neural-machine-translation-a-breakthrough-in-temporal-expression-understanding	NULL	NULL		NULL		2019
18294	PyTorch Tutorial - Tutorialspoint	https://www.tutorialspoint.com/pytorch/index.htm	NULL	NULL		NULL		2019
18298	Kaggle: Your Home for Data Science	https://www.kaggle.com/drscarlat/predict-hospital-mortality-mimic3kaggle.com/drscarlat/predict-hospital-mortality-mimic3	NULL	NULL		NULL		2019
18301	Evolution and Concepts Of Neural Networks | Deep Learning	https://www.analyticsvidhya.com/blog/2016/08/evolution-core-concepts-deep-learning-neural-networks	NULL	NULL		NULL		2016
18308	Beyond Word Embeddings Part 4. TLDR; | by Aaron (Ari) Bornstein | Towards Data Science	https://towardsdatascience.com/beyond-word-embeddings-part-4-introducing-semantic-structure-to-neural-nlp-96cf8a2723fb	NULL	NULL		NULL		2019
18309	Beyond Word Embeddings Part 3. TLDR; | by Aaron (Ari) Bornstein | Towards Data Science	https://towardsdatascience.com/beyond-word-embeddings-part-3-four-common-flaws-in-state-of-the-art-neural-nlp-models-c1d35d3496d0	NULL	NULL		NULL		2019
18311	NLP’s generalization problem, and how researchers are tackling it	https://thegradient.pub/frontiers-of-generalization-in-natural-language-processing	NULL	NULL		NULL		2018
18315	A Friendly Introduction to Cross-Entropy Loss	https://rdipietro.github.io/friendly-intro-to-cross-entropy-loss/	NULL	NULL		NULL		2019
18317	PyTorch implementation of Transformer-based Neural Machine Translation	https://pythonawesome.com/pytorch-implementation-of-transformer-based-neural-machine-translation/	NULL	NULL		NULL		2018
18318	sumy · PyPI	https://pypi.org/project/sumy/	NULL	NULL		NULL		2019
18319	Early Prediction of Sepsis from Clinical Data -- the PhysioNet Computing in Cardiology Challenge 2019 v1.0.0	https://physionet.org/content/challenge-2019/1.0.0/	NULL	NULL		NULL		2019
18320	About | ParlAI	https://parl.ai/about/	NULL	NULL		NULL		2019
18321	The Stanford Natural Language Processing Group	https://nlp.stanford.edu/projects/snli/	NULL	NULL		NULL		2019
18322	Modern Deep Learning Techniques Applied to Natural Language Processing by Authors	https://nlpoverview.com/index.html	NULL	NULL		NULL		2019
18325	Microsoft Research Asia: Past, Present, and Future of NLP | by Synced | SyncedReview | Medium	https://medium.com/syncedreview/microsoft-research-asia-past-present-and-future-of-nlp-e057e9aaab0f	NULL	NULL		NULL		2019
18326	A Paper A Day: #24 Attention Is All You Need | by Amr Sharaf | Medium	https://medium.com/@sharaf/a-paper-a-day-24-attention-is-all-you-need-26eb2da90a91	NULL	NULL		NULL		2019
18327	About the NLP Scholar Project. Acknowledgments, Caveats, Ethical... | by Saif M. Mohammad | Medium	https://medium.com/@nlpscholar/about-nlp-scholar-62cb3b0f4488	NULL	NULL		NULL		2019
18328	Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found | by Robbie Allen | Machine Learning in Practice | Medium	https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78#hn	NULL	NULL		NULL		2019
18329	The current state of AI and Deep Learning: A reply to Yoshua Bengio | by Gary Marcus | Medium	https://medium.com/@GaryMarcus/the-current-state-of-ai-and-deep-learning-a-reply-to-yoshua-bengio-77952ead7970	NULL	NULL		NULL		2019
18331	Self-Attention Mechanisms in Natural Language Processing | by Alibaba Cloud | Medium	https://medium.com/@Alibaba_Cloud/self-attention-mechanisms-in-natural-language-processing-9f28315ff905	NULL	NULL		NULL		2019
18332	Computational Thinking: I do not think it means what you think it means :: Lorena A. Barba Group	https://lorenabarba.com/blog/computational-thinking-i-do-not-think-it-means-what-you-think-it-means/	NULL	NULL		NULL		2019
18333	Deep Learning 17: text classification with BERT using PyTorch – I.L	https://ireneli.eu/2019/07/05/deep-learning-17-text-classification-with-bert-using-pytorch/	NULL	NULL		NULL		2019
18335	SOTAWHAT - A script to keep track of state-of-the-art AI research	https://huyenchip.com/2018/10/04/sotawhat.html	NULL	NULL		NULL		2018
18336	GitHub - mathsyouth/awesome-text-summarization: A curated list of resources dedicated to text summarization	https://github.com/mathsyouth/awesome-text-summarization	NULL	NULL		NULL		2019
18337	GitHub - keitakurita/Practical_NLP_in_PyTorch: A repository containing tutorials for practical NLP using PyTorch	https://github.com/keitakurita/Practical_NLP_in_PyTorch	NULL	NULL		NULL		2019
18338	GitHub - jbarrow/pytorch-reading-group: A reading group/practicum focused on hands-on deep learning for NLP with PyTorch.	https://github.com/jbarrow/pytorch-reading-group	NULL	NULL		NULL		2019
18339	simpleTensorFlowClassificationExample/Basic Classification Example with TensorFlow.ipynb at master · jalammar/simpleTensorFlowClassificationExample · GitHub	https://github.com/jalammar/simpleTensorFlowClassificationExample/blob/master/Basic%20Classification%20Example%20with%20TensorFlow.ipynb	NULL	NULL		NULL		2019
18340	GitHub - dragomirradev/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everythin	https://github.com/dragomirradev/ML-From-Scratch	NULL	NULL		NULL		2019
18342	Neural Network: A Complete Beginners Guide – Gadictos	https://gadictos.com/neural-network-pt1/	NULL	NULL		NULL		2019
18343	Seq2Seq-Vis	http://seq2seq-vis.io/	NULL	NULL		NULL		2019
18348	Calculus on Computational Graphs: Backpropagation -- colah's blog	https://colah.github.io/posts/2015-08-Backprop/	NULL	NULL		NULL		2019
18350	Ten trends in Deep learning NLP	https://blog.floydhub.com/ten-trends-in-deep-learning-nlp/?	NULL	NULL		NULL		2019
18354	Awesome-Pytorch-list | Awesome-pytorch-list	https://bharathgs.github.io/Awesome-pytorch-list/	NULL	NULL		NULL		2019
18355	Open-sourcing Captum: A model interpretability library for PyTorch	https://ai.facebook.com/blog/open-sourcing-captum-a-model-interpretability-library-for-pytorch/	NULL	NULL		NULL		2019
18356	New advances in natural language processing to better connect people	https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people/	NULL	NULL		NULL		2019
18357	Advances in Conversational AI	https://ai.facebook.com/blog/advances-in-conversational-ai/	NULL	NULL		NULL		2019
18359	Machine translation | NLP-progress	http://nlpprogress.com/english/machine_translation.html	NULL	NULL		NULL		2019
18360	Neural networks	http://ml4a.github.io/ml4a/neural_networks/	NULL	NULL		NULL		2019
18361	Looking inside neural nets	http://ml4a.github.io/ml4a/looking_inside_neural_nets/	NULL	NULL		NULL		2019
18362	A Recipe for Training Neural Networks	http://karpathy.github.io/2019/04/25/recipe/	NULL	NULL		NULL		2019
18363	Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/	NULL	NULL		NULL		2019
18364	A Visual and Interactive Guide to the Basics of Neural Networks – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/visual-interactive-guide-basics-neural-networks/	NULL	NULL		NULL		2019
18365	The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/illustrated-transformer/	NULL	NULL		NULL		2019
18366	A Visual And Interactive Look at Basic Neural Network Math – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/feedforward-neural-networks-visual-interactive/	NULL	NULL		NULL		2019
18368	Interactive visualization of artificial neural networks	http://experiments.mostafa.io/public/ffbpann/	NULL	NULL		NULL		2019
18369	Page not found · GitHub Pages	http://alexminnaar.com/word2vec-tutorial-part-i-the-skip-gram-model.html	NULL	NULL		NULL		2019
18370	Part-of-Speech(POS) Tag | Dependency Parsing | Constituency Parsing	https://www.analyticsvidhya.com/blog/2020/07/part-of-speechpos-tagging-dependency-parsing-and-constituency-parsing-in-nlp/	NULL	NULL		NULL		2020
18371	Information Extraction From Text Python	https://www.analyticsvidhya.com/blog/2020/06/nlp-project-information-extraction	NULL	NULL		NULL		2020
18372	Deep learning on graphs: successes, challenges, and next steps | by Michael Bronstein | Towards Data Science	https://towardsdatascience.com/deep-learning-on-graphs-successes-challenges-and-next-steps-7d9ec220ba8	NULL	NULL		NULL		2019
18373	Neural Network From Scratch with NumPy and MNIST	https://mlfromscratch.com/neural-network-tutorial/	NULL	NULL		NULL		2020
18374	PEGASUS: Google’s State of the Art Abstractive Summarization Model | by Rohan Jagtap | Towards Data Science	https://towardsdatascience.com/pegasus-google-state-of-the-art-abstractive-summarization-model-627b1bbbc5ce	NULL	NULL		NULL		2019
18375	Inter-Annotator Agreement (IAA). Pair-wise Cohen kappa and group Fleiss’... | by Louis de Bruijn | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/inter-annotator-agreement-2f46c6d37bf3	NULL	NULL		NULL		2019
18376	The fallacy of white privilege — and how it's corroding society	https://nypost.com/2020/07/11/the-fallacy-of-white-privilege-and-how-its-corroding-society/	NULL	NULL		NULL		2019
18377	Deriving convolution from first principles | by Michael Bronstein | Jul, 2020 | Towards Data Science	https://medium.com/@michael.bronstein/deriving-convolution-from-first-principles-4ff124888028	NULL	NULL		NULL		2019
18378	PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization | by Prakhar Mishra | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/pegasus-pre-training-with-extracted-gap-sentences-for-abstractive-summarization-acb238aa1096	NULL	NULL		NULL		2019
18379	PyTorch Basics: Tensors and Gradients | by Aakash N S | The Startup | Medium	https://medium.com/swlh/pytorch-basics-tensors-and-gradients-eb2f6e8a6eee	NULL	NULL		NULL		2019
18380	Linear Regression and Gradient Descent from scratch in PyTorch | by Aakash N S | Medium	https://medium.com/jovian-io/linear-regression-with-pytorch-3dde91d60b50	NULL	NULL		NULL		2019
18381	Image Classification using Logistic Regression in PyTorch | by Aakash N S | Medium	https://medium.com/jovian-io/image-classification-using-logistic-regression-in-pytorch-ebb96cc9eb79	NULL	NULL		NULL		2019
18383	BERT: Pre-Training of Transformers for Language Understanding | by Rohan Jagtap | The Startup | Medium	https://medium.com/swlh/bert-pre-training-of-transformers-for-language-understanding-5214fba4a9af	NULL	NULL		NULL		2019
18384	Semantic Code Search Using Transformers and BERT- Part III: Converting Functions to Vectors & Deploying the Search Engine | by Shashank Ramesh | The Startup | Jul, 2020 | Medium	https://medium.com/swlh/semantic-code-search-using-transformers-and-bert-part-iii-converting-functions-to-vectors-47747aef0cf0	NULL	NULL		NULL		2019
18385	Building an Artificial Neural Network using pure Numpy | by Rohit Agrawal | Towards Data Science	https://towardsdatascience.com/building-an-artificial-neural-network-using-pure-numpy-3fe21acc5815	NULL	NULL		NULL		2019
18386	BERT Text Classification Using Pytorch | by Raymond Cheng | Towards Data Science	https://towardsdatascience.com/bert-text-classification-using-pytorch-723dfb8b6b5b	NULL	NULL		NULL		2019
18388	A Beginner's Guide to Word2Vec and Neural Word Embeddings | Pathmind	https://pathmind.com/wiki/word2vec	NULL	NULL		NULL		2019
18389	Is the race over for Seq2Seq models? | by Thushan Ganegedara | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/is-the-race-over-for-seq2seq-models-adef2b24841c	NULL	NULL		NULL		2019
18390	Notes on graph theory — Centrality measures | by Anas AIT AOMAR | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/notes-on-graph-theory-centrality-measurements-e37d2e49550a	NULL	NULL		NULL		2019
18391	Multi-label vs. Multi-class Classification: Sigmoid vs. Softmax | by Rachel Lea Ballantyne Draelos | Towards Data Science	https://towardsdatascience.com/classification-sigmoid-vs-softmax-2a3585ff740f	NULL	NULL		NULL		2019
18392	Natural Language Generation using PyTorch | Model & Generate Text Data	https://www.analyticsvidhya.com/blog/2020/08/build-a-natural-language-generation-nlg-system-using-pytorch/	NULL	NULL		NULL		2020
18393	Transfer Learning NLP|Fine Tune Bert For Text Classification	https://www.analyticsvidhya.com/blog/2020/07/transfer-learning-for-nlp-fine-tuning-bert-for-text-classification/	NULL	NULL		NULL		2020
18394	ANN vs CNN vs RNN | Types of Neural Networks	https://www.analyticsvidhya.com/blog/2020/02/cnn-vs-rnn-vs-mlp-analyzing-3-types-of-neural-networks-in-deep-learning/	NULL	NULL		NULL		2020
18395	The Fascinating No-Gradient Approach to Neural Net Optimization | by Andre Ye | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/the-fascinating-no-gradient-approach-to-neural-net-optimization-abb287f88c97	NULL	NULL		NULL		2019
18396	Deep Learning Algorithms - The Complete Guide | AI Summer	https://theaisummer.com/Deep-Learning-Algorithms/	NULL	NULL		NULL		2019
18397	Reinforcement Learning Notes Part 1: Dynamic Programming | Alex Minnaar's Blog	http://alexminnaar.com/2019/06/29/reinforcement-learning-pt1-dynamic-programming.html	NULL	NULL		NULL		2019
18398	Reinforcement Learning Notes Part 3: Temporal Difference Learning | Alex Minnaar's Blog	http://alexminnaar.com/2019/07/02/reinforcement-learning-notes-pt3-td-learning.html	NULL	NULL		NULL		2019
18399	Reinforcement Learning Notes Part 2: Monte Carlo Methods | Alex Minnaar's Blog	http://alexminnaar.com/2019/06/30/reinforcement-learning-notes-pt2-monte-carlo-methods.html	NULL	NULL		NULL		2019
18400	Neural Networks from Scratch with Python Code and Math in Detail— I | by Towards AI Team | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/building-neural-networks-from-scratch-with-python-code-and-math-in-detail-i-536fae5d7bbf	NULL	NULL		NULL		2019
18401	Building Neural Networks with Python Code and Math in Detail — II | by Towards AI Team | Towards AI — Multidisciplinary Science Journal | Medium	https://medium.com/towards-artificial-intelligence/building-neural-networks-with-python-code-and-math-in-detail-ii-bbe8accbf3d1	NULL	NULL		NULL		2019
18402	How to create a neural network from scratch in Python — Math & Code | by Pierre-Antoine Bannier | Medium	https://medium.com/@PABTennnis/how-to-create-a-neural-network-from-scratch-in-python-math-code-fd874168e955	NULL	NULL		NULL		2019
18403	Neural Network from scratch in Python | by Omar Aflak | Towards Data Science	https://towardsdatascience.com/math-neural-network-from-scratch-in-python-d6da9f29ce65	NULL	NULL		NULL		2019
18404	This Is How Reinforcement Learning Works | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/this-is-how-reinforcement-learning-works-5080b3a335d6	NULL	NULL		NULL		2019
18405	Don’t Ever Ignore Reinforcement Learning Again | by Michel Kana, Ph.D | Towards Data Science	https://towardsdatascience.com/dont-ever-ignore-reinforcement-learning-again-4d026ee81371	NULL	NULL		NULL		2019
18407	Implementing Neural Machine Translation with Attention mechanism using Tensorflow | by Renu Khandelwal | Towards Data Science	https://towardsdatascience.com/implementing-neural-machine-translation-with-attention-using-tensorflow-fc9c6f26155f	NULL	NULL		NULL		2019
18408	Simple Neural Networks in Python. A detail-oriented introduction to... | by Aidan Wilson | Towards Data Science	https://towardsdatascience.com/inroduction-to-neural-networks-in-python-7e0b422e6c24	NULL	NULL		NULL		2019
18409	403 Forbidden	http://datahacker.rs/gradient-descent-neural-networks/	NULL	NULL		NULL		2019
18410	How I used machine learning to strategize my GRE preparation. | by Sarthak Vajpayee | Towards Data Science	https://towardsdatascience.com/how-i-used-machine-learning-to-strategize-my-gre-preparation-75e904a63fd8	NULL	NULL		NULL		2019
18411	Transformers (State-of-the-art Natural Language Processing) | by Sarthak Vajpayee | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/transformers-state-of-the-art-natural-language-processing-1d84c4c7462b	NULL	NULL		NULL		2019
18412	Understanding BERT — (Bidirectional Encoder Representations from Transformers) | by Sarthak Vajpayee | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/understanding-bert-bidirectional-encoder-representations-from-transformers-45ee6cd51eef	NULL	NULL		NULL		2019
18413	Hands-on Transformers (Kaggle Google QUEST Q&A Labeling). | by Sarthak Vajpayee | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/hands-on-transformers-kaggle-google-quest-q-a-labeling-affd3dad7bcb	NULL	NULL		NULL		2019
18414	Optimizers Explained - Adam, Momentum and Stochastic Gradient Descent	https://mlfromscratch.com/optimizers-explained/#/	NULL	NULL		NULL		2019
18415	TensorFlow 2.0 Tutorial in 10 Minutes	https://mlfromscratch.com/tensorflow-2/#/	NULL	NULL		NULL		2019
18416	How to do Linear Regression and Logistic Regression in Machine Learning?	https://mlfromscratch.com/machine-learning-introduction-8-linear-regression-and-logistic-regression/#/	NULL	NULL		NULL		2019
18417	Probability Distributions and Maximum Likelihood Estimation (MLE)	https://mlfromscratch.com/probability-distributions-and-densities/#/	NULL	NULL		NULL		2019
18418	Probability Theory: Bayes Theorem, Sum Rule and Product Rule	https://mlfromscratch.com/probability-theory-bayes-theorem/#/	NULL	NULL		NULL		2019
18419	Linear Algebra Vector Basics	https://mlfromscratch.com/linear-algebra-vector-basics/#/	NULL	NULL		NULL		2018
18420	Linear Algebra Basics 2: Basis Vectors, Span and Linear Combinations	https://mlfromscratch.com/linear-algebra-basics-2/#/	NULL	NULL		NULL		2018
18421	Linear Algebra Basics 3: Linear Transformations and Matrix Multiplication	https://mlfromscratch.com/linear-algebra-basics-3/#/	NULL	NULL		NULL		2019
18422	Linear Algebra Basics 4: Determinant, Cross Product and Dot Product	https://mlfromscratch.com/linear-algebra-basics-4-determinant/#/	NULL	NULL		NULL		2019
18423	Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)	https://mlfromscratch.com/principal-component-analysis-pca-svd/#/	NULL	NULL		NULL		2019
18424	Multiple Linear Regression: Explained, Coded & Special Cases	https://mlfromscratch.com/linear-regression-from-scratch/#/	NULL	NULL		NULL		2020
18425	Measures of Distance - Similarity and Dissimilarity	https://mlfromscratch.com/measures-of-distance-similarity-and-dissimilarity/#/	NULL	NULL		NULL		2019
18426	Neural Network From Scratch with NumPy and MNIST	https://mlfromscratch.com/neural-network-tutorial/#/	NULL	NULL		NULL		2020
18427	Activation Functions Explained - GELU, SELU, ELU, ReLU and more	https://mlfromscratch.com/activation-functions-explained/#/	NULL	NULL		NULL		2019
18429	Building a Neural Network from scratch in Python | by Pavan Kodi | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/building-a-neural-network-from-scratch-in-python-edc74ae63761	NULL	NULL		NULL		2019
18430	Linear regression from scratch – Build Smart. Build Secure.  IBM Developer	https://developer.ibm.com/technologies/artificial-intelligence/articles/linear-regression-from-scratch	NULL	NULL		NULL		2019
18433	Markov Chains and HMMs. In this article, we’ll focus on Markov... | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/markov-chains-and-hmms-ceaf2c854788	NULL	NULL		NULL		2019
18434	Learning in Graphs with Python (Part 3) | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/learning-in-graphs-with-python-part-3-8d5513eef62d	NULL	NULL		NULL		2019
18435	Graph Algorithms (Part 2). Main concepts, properties, and... | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/graph-algorithms-part-2-dce0b2734a1d	NULL	NULL		NULL		2019
18436	Introduction to Graphs (Part 1). Main concepts, properties, and... | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/introduction-to-graphs-part-1-2de6cda8c5a5	NULL	NULL		NULL		2019
18437	An introduction to backpropagation	https://www.qwertee.io/blog/an-introduction-to-backpropagation/	NULL	NULL		NULL		2019
18438	Word embeddings in 2020. Review with code examples | by Rostyslav Neskorozhenyi  | Towards Data Science	https://towardsdatascience.com/word-embeddings-in-2020-review-with-code-examples-11eb39a1ee6d	NULL	NULL		NULL		2019
18440	Creating a Neural Network from Scratch in Python: Adding Hidden Layers	https://stackabuse.com/creating-a-neural-network-from-scratch-in-python-adding-hidden-layers/	NULL	NULL		NULL		2019
18441	Creating a Neural Network from Scratch in Python: Multi-class Classification	https://stackabuse.com/creating-a-neural-network-from-scratch-in-python-multi-class-classification/	NULL	NULL		NULL		2019
18442	Building a Neural Network From Scratch Using Python (Part 1) | by Rising Odegua | Heartbeat	https://heartbeat.fritz.ai/building-a-neural-network-from-scratch-using-python-part-1-6d399df8d432	NULL	NULL		NULL		2019
18443	Building a Neural Network From Scratch Using Python (Part 2) | by Rising Odegua | Heartbeat	https://heartbeat.fritz.ai/building-a-neural-network-from-scratch-using-python-part-2-testing-the-network-c1f0c1c9cbb0	NULL	NULL		NULL		2019
18444	How I Explained Word Embeddings To My Non-Technical Colleagues | by Chris I. | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/how-i-explained-word-embeddings-to-my-non-technical-colleagues-52ced76cf3bb	NULL	NULL		NULL		2019
18445	Neural Architecture Search	https://lilianweng.github.io/lil-log/2020/08/06/neural-architecture-search.html	NULL	NULL		NULL		2020
18446	BERT — A Practitioner’s Perspective | by Nirupam Purushothama | The Startup | Jul, 2020 | Medium	https://medium.com/swlh/bert-a-practitioners-perspective-11d49cdcb0a0	NULL	NULL		NULL		2019
18447	Manifold Learning [t-SNE, LLE, Isomap, +] Made Easy | by Andre Ye | Aug, 2020 | Towards Data Science	https://medium.com/@andre_ye/manifold-learning-t-sne-lle-isomap-made-easy-42cfd61f5183	NULL	NULL		NULL		2019
18448	Expectation-Maximization for GMMs explained | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/expectation-maximization-for-gmms-explained-5636161577ca	NULL	NULL		NULL		2019
18449	Maximum Likelihood Estimation of Gaussian Parameters	http://jrmeyer.github.io/machinelearning/2017/08/18/mle.html	NULL	NULL		NULL		2017
18450	Introduction to Graphs -	https://maelfabien.github.io/machinelearning/graph_1	NULL	NULL		NULL		2019
18451	Graph Analysis -	https://maelfabien.github.io/machinelearning/graph_2	NULL	NULL		NULL		2019
18452	Graph Algorithms -	https://maelfabien.github.io/machinelearning/graph_3	NULL	NULL		NULL		2019
18453	Graph Learning -	https://maelfabien.github.io/machinelearning/graph_4	NULL	NULL		NULL		2019
18454	Graph Embedding -	https://maelfabien.github.io/machinelearning/graph_5	NULL	NULL		NULL		2019
18455	Introduction to Automatic Speech Recognition (ASR) -	https://maelfabien.github.io/machinelearning/speech_reco	NULL	NULL		NULL		2020
18456	Deep Learning -	https://maelfabien.github.io/dl	NULL	NULL		NULL		2019
18457	Full introduction to Neural Nets -	https://maelfabien.github.io/deeplearning/intro/	NULL	NULL		NULL		2019
18458	Multilayer Perceptron -	https://maelfabien.github.io/deeplearning/mlp	NULL	NULL		NULL		2018
18459	The Rosenblatt’s Perceptron -	https://maelfabien.github.io/deeplearning/Perceptron	NULL	NULL		NULL		2018
18460	Rosenblatt’s perceptron, the first modern neural network | by Jean-Christophe B. Loiseau | Towards Data Science	https://towardsdatascience.com/rosenblatts-perceptron-the-very-first-neural-network-37a3ec09038a	NULL	NULL		NULL		2019
18461	McCulloch-Pitts Neuron — Mankind’s First Mathematical Model Of A Biological Neuron | by Akshay L Chandra | Towards Data Science	https://towardsdatascience.com/mcculloch-pitts-model-5fdf65ac5dd1	NULL	NULL		NULL		2019
18462	Perceptron: The Artificial Neuron (An Essential Upgrade To The McCulloch-Pitts Neuron) | by Akshay L Chandra | Towards Data Science	https://towardsdatascience.com/perceptron-the-artificial-neuron-4d8c70d5cc8d	NULL	NULL		NULL		2019
18463	The basis of Machine Learning -	https://maelfabien.github.io/machinelearning/ml_base/	NULL	NULL		NULL		2019
18464	Bayes Classifier -	https://maelfabien.github.io/machinelearning/bayes/	NULL	NULL		NULL		2019
18465	Full guide to Linear Regression (Part 1) -	https://maelfabien.github.io/statistics/linreg/	NULL	NULL		NULL		2018
18466	Full guide to Linear Regression (2/2) -	https://maelfabien.github.io/statistics/linreg2/	NULL	NULL		NULL		2018
18467	Tests, p-values, restrictions -	https://maelfabien.github.io/statistics/Tests/	NULL	NULL		NULL		2019
18468	Binary output prediction and Logistic Regression -	https://maelfabien.github.io/statistics/linreg3/	NULL	NULL		NULL		2019
18469	Introduction to Time Series -	https://maelfabien.github.io/statistics/TimeSeries1/	NULL	NULL		NULL		2019
18470	Key Concepts of Time Series -	https://maelfabien.github.io/statistics/TimeSeries2/	NULL	NULL		NULL		2019
18471	Basic Time Series Forecasting -	https://maelfabien.github.io/statistics/TimeSeries3/	NULL	NULL		NULL		2019
18472	Time Series Forecasting with Prophet -	https://maelfabien.github.io/statistics/TimeSeries4/	NULL	NULL		NULL		2019
18473	Handle Missing Values in Time Series -	https://maelfabien.github.io/statistics/TimeSeries5/	NULL	NULL		NULL		2019
18474	Key Concepts of Data Visualization -	https://maelfabien.github.io/machinelearning/Dataviz/	NULL	NULL		NULL		2019
18475	Tableau-like in Python with Altair -	https://maelfabien.github.io/machinelearning/Altair/	NULL	NULL		NULL		2019
18476	Linear Discriminant Analysis (LDA), QDA -	https://maelfabien.github.io/machinelearning/LDA/	NULL	NULL		NULL		2019
18477	Adaptative Boosting (AdaBoost) -	https://maelfabien.github.io/machinelearning/adaboost/	NULL	NULL		NULL		2019
18478	Gradient Boosting Regression -	https://maelfabien.github.io/machinelearning/GradientBoost/	NULL	NULL		NULL		2019
18479	Gradient Boosting Classification -	https://maelfabien.github.io/machinelearning/GradientBoostC/	NULL	NULL		NULL		2019
18480	Large Scale Kernel Methods -	https://maelfabien.github.io/machinelearning/largescale/	NULL	NULL		NULL		2019
18481	Unsupervised Learning Cheat Sheet -	https://maelfabien.github.io/machinelearning/unsupervised/	NULL	NULL		NULL		2019
18482	Anomaly Detection -	https://maelfabien.github.io/machinelearning/anomaly/	NULL	NULL		NULL		2019
18483	Expectation Maximization for Gaussian Mixture Models and Hidden Markov Models -	https://maelfabien.github.io/machinelearning/GMM/	NULL	NULL		NULL		2020
18484	Markov Processes -	https://maelfabien.github.io/machinelearning/HMM_1/	NULL	NULL		NULL		2019
18485	Hidden Markov Model (HMM) -	https://maelfabien.github.io/machinelearning/HMM_2/	NULL	NULL		NULL		2019
18486	Build a Language Recognition app from scratch -	https://maelfabien.github.io/machinelearning/HMM_3/	NULL	NULL		NULL		2019
18487	Grid Search vs. Randomized Search -	https://maelfabien.github.io/machinelearning/GridRand/	NULL	NULL		NULL		2019
18488	Bayesian Hyperparameter Optimization -	https://maelfabien.github.io/machinelearning/HyperOpt/	NULL	NULL		NULL		2019
18489	AutoML with h2o -	https://maelfabien.github.io/machinelearning/AutoML/	NULL	NULL		NULL		2019
18490	Achieving a top 5% position in an ML competition with AutoML | by Lars Hulstaert | Towards Data Science	https://towardsdatascience.com/achieving-a-top-5-position-in-an-ml-competition-with-automl-89a5a6fb8060	NULL	NULL		NULL		2019
18491	How does AutoML works?. “AutoML is not complete Data science... | by jeetendra gangele | Medium	https://medium.com/@gangele397/how-does-automl-works-b0f9e45fbb24	NULL	NULL		NULL		2019
18492	Machine Learning Explainability -	https://maelfabien.github.io/machinelearning/Explainability/	NULL	NULL		NULL		2019
18493	Introduction to Online Learning -	https://maelfabien.github.io/machinelearning/Online/	NULL	NULL		NULL		2019
18494	Linear Classification -	https://maelfabien.github.io/machinelearning/Online2/	NULL	NULL		NULL		2019
18495	Introduction to Reinforcement Learning -	https://maelfabien.github.io/rl/RL_1/	NULL	NULL		NULL		2019
18496	Markov Decision Process -	https://maelfabien.github.io/rl/RL_2/	NULL	NULL		NULL		2019
18497	Planning by Dynamic Programming -	https://maelfabien.github.io/rl/RL_3/	NULL	NULL		NULL		2019
18498	Introduction to Computer Vision -	https://maelfabien.github.io/computervision/cv_1/	NULL	NULL		NULL		2019
18499	Image formation and Filtering -	https://maelfabien.github.io/computervision/cv_2/	NULL	NULL		NULL		2019
18500	Image subsampling and downsampling -	https://maelfabien.github.io/computervision/cv_3/	NULL	NULL		NULL		2019
18501	Local features, Detection, Description and Matching -	https://maelfabien.github.io/computervision/cv_4/	NULL	NULL		NULL		2019
18502	Image Alignment and Image Warping -	https://maelfabien.github.io/computervision/cv_5/	NULL	NULL		NULL		2019
18503	Convolutional Neural Networks -	https://maelfabien.github.io/deeplearning/cnn/	NULL	NULL		NULL		2018
18504	Introduction to Bash Scripting -	https://maelfabien.github.io/bigdata/Terminal/	NULL	NULL		NULL		2019
18505	Introduction to the ElasticStack -	https://maelfabien.github.io/bigdata/ElasticStack/	NULL	NULL		NULL		2019
18506	Getting started with Elastic Cloud -	https://maelfabien.github.io/bigdata/ElasticCloud/	NULL	NULL		NULL		2019
18507	Install and run Elasticsearch + Kibana locally -	https://maelfabien.github.io/bigdata/Elasticsearch/	NULL	NULL		NULL		2019
18508	Getting Started with Dev Tools in Elasticsearch -	https://maelfabien.github.io/bigdata/DevTools/	NULL	NULL		NULL		2019
18509	Boosting and AdaBoost clearly explained | by Mae?l Fabien | Towards Data Science	https://towardsdatascience.com/boosting-and-adaboost-clearly-explained-856e21152d3e	NULL	NULL		NULL		2019
18517	Deploy a Streamlit WebApp with Docker -	https://maelfabien.github.io/project/Streamlit/	NULL	NULL		NULL		2019
18518	Making your code production-ready -	https://maelfabien.github.io/bigdata/Code/	NULL	NULL		NULL		2019
18519	Key Computer Components -	https://maelfabien.github.io/bigdata/comp_components	NULL	NULL		NULL		2019
18521	Activation Functions -	https://maelfabien.github.io/deeplearning/act	NULL	NULL		NULL		2019
18522	Reinforcement Q-Learning from Scratch in Python with OpenAI Gym – LearnDataSci	https://www.learndatasci.com/tutorials/reinforcement-q-learning-scratch-python-openai-gym/	NULL	NULL		NULL		2019
18523	Overview of tokenization algorithms in NLP | by Ane Berasategi | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/overview-of-nlp-tokenization-algorithms-c41a7d5ec4f9	NULL	NULL		NULL		2019
18524	Implementing a Multi Layer Perceptron Neural Network in Python | by Vivek Patel | Towards Data Science	https://towardsdatascience.com/implementing-a-multi-layer-perceptron-neural-network-in-python-b22b5a3bdfa3	NULL	NULL		NULL		2019
18525	Introduction to Natural Language Processing -	https://maelfabien.github.io/machinelearning/NLP_0/	NULL	NULL		NULL		2019
18526	Text Preprocessing -	https://maelfabien.github.io/machinelearning/NLP_1/	NULL	NULL		NULL		2019
18527	From text to vectors with BoW and TF-IDF -	https://maelfabien.github.io/machinelearning/NLP_2/	NULL	NULL		NULL		2019
18528	Word Embedding with Skip-Gram Word2Vec -	https://maelfabien.github.io/machinelearning/NLP_3/	NULL	NULL		NULL		2019
18529	I trained a Network to Speak Like Me (and it’s funny) -	https://maelfabien.github.io/machinelearning/NLP_4/	NULL	NULL		NULL		2019
18530	Text classification from few training examples -	https://maelfabien.github.io/machinelearning/NLP_5/	NULL	NULL		NULL		2019
18531	Improved Few-Shot Text classification -	https://maelfabien.github.io/machinelearning/NLP_6/	NULL	NULL		NULL		2019
18532	Character-Level LSTMs for Gender Classification from Name -	https://maelfabien.github.io/machinelearning/NLP_7/	NULL	NULL		NULL		2019
18533	Data Augmentation in Natural Language Processing -	https://maelfabien.github.io/machinelearning/NLP_8/	NULL	NULL		NULL		2019
18534	Easy Question Answering with AllenNLP -	https://maelfabien.github.io/machinelearning/NLP_9/	NULL	NULL		NULL		2019
18535	Markov Decision Process (MDP) Toolbox — Python Markov Decision Process Toolbox 4.0-b4 documentation	https://pymdptoolbox.readthedocs.io/en/latest/api/mdptoolbox.html	NULL	NULL		NULL		2019
18537	RNN Language Models — Chainer 7.7.0 documentation	https://docs.chainer.org/en/stable/examples/ptb.html	NULL	NULL		NULL		2019
18538	BART for Paraphrasing with Simple Transformers | by Thilina Rajapakse | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/bart-for-paraphrasing-with-simple-transformers-7c9ea3dfdd8c	NULL	NULL		NULL		2019
18539	REALM: Retrieval-Augmented Language Model Pre-Training | by Edward Ma | Towards AI — Multidisciplinary Science Journal | Aug, 2020 | Medium	https://medium.com/towards-artificial-intelligence/realm-retrieval-augmented-language-model-pre-training-534feae7ab98	NULL	NULL		NULL		2019
18540	Introduction To DataFlow Graphs As Basis of Deep Neural Networks | by Aisha Javed | Analytics Vidhya | Aug, 2020 | Medium	https://medium.com/@aisha.jv70/introduction-to-dataflow-graphs-as-basis-of-deep-neural-networks-19b0b0346dc1	NULL	NULL		NULL		2019
18541	Breaking Down the Innovative Deep Learning Behind Google Translate | by Andre Ye | Analytics Vidhya | Aug, 2020 | Medium	https://towardsdatascience.com/breaking-down-the-innovative-deep-learning-behind-google-translate-355889e104f1	NULL	NULL		NULL		2019
18542	Common Activation Functions and Why You Must Know Them | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/common-activation-functions-and-why-you-must-know-them-ec90e54a7079	NULL	NULL		NULL		2019
18543	Evaluating Clustering Results. The criteria used to evaluate... | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/evaluating-clustering-results-f13552ee7603	NULL	NULL		NULL		2019
18545	Newbies Guide to Python-igraph. A simple guide to common functions of... | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/newbies-guide-to-python-igraph-4e51689c35b4	NULL	NULL		NULL		2019
18546	DNA Sequence Data Analysis. A simple introduction to DNA sequence... | by Vijini Mallawaarachchi | The Computational Biology Magazine | Medium	https://medium.com/computational-biology/dna-sequence-data-analysis-9b08d2c62b1a	NULL	NULL		NULL		2019
18547	A Quick Guide to Relational Algebra Operators in DBMS | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/a-quick-guide-to-relational-algebra-operators-in-dbms-1ff2ddecaad7	NULL	NULL		NULL		2019
18548	Label Propagation Demystified. A simple introduction to graph-based... | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/label-propagation-demystified-cd5390f27472	NULL	NULL		NULL		2019
18549	Visualising Graph Data with Python-igraph | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/visualising-graph-data-with-python-igraph-b3cc81a495cf	NULL	NULL		NULL		2019
18550	Introduction to Genetic Algorithms — Including Example Code | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3	NULL	NULL		NULL		2019
18551	How to define a Fitness Function in a Genetic Algorithm? | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/how-to-define-a-fitness-function-in-a-genetic-algorithm-be572b9ea3b4	NULL	NULL		NULL		2019
18552	T-distributed Stochastic Neighbor Embedding(t-SNE) | by Renu Khandelwal | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/t-distributed-stochastic-neighbor-embedding-t-sne-bb60ff109561	NULL	NULL		NULL		2019
18553	Introduction to RNNs, Sequence to Sequence Language Translation and Attention | by O?mer Sakarya | Towards Data Science	https://towardsdatascience.com/introduction-to-rnns-sequence-to-sequence-language-translation-and-attention-fc43ef2cc3fd	NULL	NULL		NULL		2019
18555	Simple scalable graph neural networks | by Michael Bronstein | Aug, 2020 | Towards Data Science	https://medium.com/@michael.bronstein/simple-scalable-graph-neural-networks-7eb04f366d07	NULL	NULL		NULL		2019
18557	Simple scalable graph neural networks | by Michael Bronstein | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/simple-scalable-graph-neural-networks-7eb04f366d07	NULL	NULL		NULL		2019
18558	Temporal Graph Networks. A new neural network architecture for... | by Michael Bronstein | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/temporal-graph-networks-ab8f327f2efe	NULL	NULL		NULL		2019
18559	Deriving convolution from first principles | by Michael Bronstein | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/deriving-convolution-from-first-principles-4ff124888028	NULL	NULL		NULL		2019
18561	Expressive power of graph neural networks and the Weisfeiler-Lehman test | by Michael Bronstein | Towards Data Science	https://towardsdatascience.com/expressive-power-of-graph-neural-networks-and-the-weisefeiler-lehman-test-b883db3c7c49	NULL	NULL		NULL		2019
18562	Hidden Markov Model. Elaborated with examples | Towards Data Science	https://towardsdatascience.com/markov-and-hidden-markov-model-3eec42298d75	NULL	NULL		NULL		2019
18563	Text Generation with Bi-LSTM in PyTorch | by Fernando Lo?pez | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/text-generation-with-bi-lstm-in-pytorch-5fda6e7cc22c	NULL	NULL		NULL		2019
18564	Machine Learning of Sets	http://akosiorek.github.io/ml/2020/08/12/machine_learning_of_sets.html	NULL	NULL		NULL		2020
18565	ff-net	https://juniorrojas.com/ff-net/	NULL	NULL		NULL		2019
18566	How do Neural Networks learn?. Going downhill on the loss landscape | by Dorian Lazar | Towards AI — Multidisciplinary Science Journal | Jul, 2020 | Medium	https://medium.com/towards-artificial-intelligence/how-do-neural-networks-learn-61686d2aea20	NULL	NULL		NULL		2019
18567	Transformer models...How did it all start? | by Dani Solis | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/transformer-models-how-did-it-all-start-2e5b385ddd93	NULL	NULL		NULL		2019
18568	Question pairs identification. There are no stupid questions...only... | by Kirti Pande | Towards Data Science	https://towardsdatascience.com/questions-pairs-identification-f8abcafb5b17	NULL	NULL		NULL		2019
18569	Don’t let BERT Intimidate You. How to solve a simple classification... | by Ameer Hussain | Medium	https://medium.com/@ameerhussainkh/dont-let-bert-intimidate-you-b8c0ccfaffe0	NULL	NULL		NULL		2019
18570	A Short & Practical Programmer’s Guide to Graph Theory | by Andre Ye | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/a-short-practical-programmers-guide-to-graph-theory-bfc87bc52581	NULL	NULL		NULL		2019
18571	Mining Order From Chaos: the Ingenious and Creative Fusion of NLP & Graph Theory | by Andre Ye | Towards Data Science	https://towardsdatascience.com/mining-order-from-chaos-the-ingenious-and-creative-fusion-of-nlp-graph-theory-954b10e2f976	NULL	NULL		NULL		2019
18572	A (Quick) Guide to Neural Network Optimizers with Applications in Keras | by Andre Ye | Towards Data Science	https://towardsdatascience.com/a-quick-guide-to-neural-network-optimizers-with-applications-in-keras-e4635dd1cca4	NULL	NULL		NULL		2019
18573	A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science	https://towardsdatascience.com/a-guide-to-neural-network-loss-functions-with-applications-in-keras-3a3baa9f71c5	NULL	NULL		NULL		2019
18574	Manifold Learning [t-SNE, LLE, Isomap, +] Made Easy | by Andre Ye | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/manifold-learning-t-sne-lle-isomap-made-easy-42cfd61f5183	NULL	NULL		NULL		2019
18575	Every Machine Learning Algorithm Can Be Represented as a Neural Network | by Andre Ye | Jul, 2020 | Towards Data Science	https://towardsdatascience.com/every-machine-learning-algorithm-can-be-represented-as-a-neural-network-82dcdfb627e3	NULL	NULL		NULL		2019
18576	Calculus for the Beginner— Building Calculus, Piece by Piece | by Andre Ye | The Startup | Medium	https://medium.com/swlh/calculus-for-the-beginner-building-calculus-piece-by-piece-9370f158ee89	NULL	NULL		NULL		2019
18577	The Engine of the Neural Network: the Backpropagation Equation | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/the-engine-of-the-neural-network-the-backpropagation-equation-cf2dd1be2477	NULL	NULL		NULL		2019
18578	Beyond Ordinary PCA: Nonlinear Principal Component Analysis | by Andre Ye | Analytics Vidhya | Aug, 2020 | Medium	https://medium.com/analytics-vidhya/beyond-ordinary-pca-nonlinear-principal-component-analysis-54a93915a702	NULL	NULL		NULL		2019
18580	11 Essential Neural Network Architectures, Visualized & Explained | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/@andre_ye/11-essential-neural-network-architectures-visualized-explained-7fc7da3486d8	NULL	NULL		NULL		2019
18581	Your Ultimate Data Science Statistics & Mathematics Cheat Sheet | by Andre Ye | Towards Data Science	https://towardsdatascience.com/your-ultimate-data-science-statistics-mathematics-cheat-sheet-d688a48ad3db	NULL	NULL		NULL		2019
18582	Your Ultimate Data Mining & Machine Learning Cheat Sheet | by Andre Ye | Towards Data Science	https://towardsdatascience.com/your-ultimate-data-mining-machine-learning-cheat-sheet-9fce3fa16	NULL	NULL		NULL		2019
18583	Visualizing How Different ML Models Operate in the Feature Space | by Andre Ye | AI In Plain English | Medium	https://medium.com/ai-in-plain-english/visualizing-how-different-ml-models-operate-in-the-feature-space-c6caa8a96375	NULL	NULL		NULL		2019
18584	A Tour of Reinforcement Learning, the Hottest Topic in AI | by Andre Ye | DataSeries | Medium	https://medium.com/dataseries/a-tour-of-reinforcement-learning-the-hottest-topic-in-ai-3822de3a0936	NULL	NULL		NULL		2019
18585	TextBlob: The NLP Preprocessing Godsend | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/textblob-the-nlp-preprocessing-godsend-1b404c35732e	NULL	NULL		NULL		2019
18586	Understanding the Mathematics of Higher Dimensions | by Andre Ye | The Startup | Medium	https://medium.com/swlh/understanding-the-mathematics-of-higher-dimensions-ab180e0bb45f	NULL	NULL		NULL		2019
18587	A Start-to-Finish Guide to Building Deep Neural Networks in Keras | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/a-start-to-finish-guide-to-building-deep-neural-networks-in-keras-3d54de097a75	NULL	NULL		NULL		2019
18589	Trends in Model Pre-training for Natural Language Understanding | by Iulia Turc | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/trends-in-model-pre-training-for-natural-language-understanding-d34424cf5715	NULL	NULL		NULL		2019
18590	All the Distributions You Need to Know | by Andre Ye | Towards Data Science	https://towardsdatascience.com/all-the-distributions-you-need-to-know-ad570514987b	NULL	NULL		NULL		2019
18591	A Guide to Text Annotation — the Key to Understanding Language | by Andre Ye | Towards Data Science	https://towardsdatascience.com/a-guide-to-text-annotation-the-key-to-understanding-language-e221a69ee90e	NULL	NULL		NULL		2019
18592	Supervised Learning, But A Lot Better: Semi-Supervised Learning | by Andre Ye | Towards Data Science	https://towardsdatascience.com/supervised-learning-but-a-lot-better-semi-supervised-learning-a42dff534781	NULL	NULL		NULL		2019
18593	Batch Normalization: The Greatest Breakthrough in Deep Learning | by Andre Ye | Towards Data Science	https://towardsdatascience.com/batch-normalization-the-greatest-breakthrough-in-deep-learning-77e64909d81d	NULL	NULL		NULL		2019
18594	GANs for Everyone. An intuitive explanation of the... | by Andre Ye | Towards Data Science	https://towardsdatascience.com/gans-for-everyone-an-intuitive-explanation-of-the-revolutionary-concept-2f962c858b95	NULL	NULL		NULL		2019
18595	The Most Efficient Way to Solve Any Linear Equation, in Three Lines of Code | by Andre Ye | Towards Data Science	https://towardsdatascience.com/the-most-efficient-way-to-solve-any-linear-equation-in-three-lines-of-code-bb8f66f1b463	NULL	NULL		NULL		2019
18596	Using machine learning analytics to boost chances of graduate school admission | by Andre Ye | Towards Data Science	https://towardsdatascience.com/what-is-the-most-important-factor-to-graduate-admission-e75de7a538d6	NULL	NULL		NULL		2019
18598	Essential Python Concepts & Structures Any Serious Programmer Needs to Know, Explained | by Andre Ye | Towards Data Science	https://towardsdatascience.com/essential-python-concepts-any-serious-programmer-needs-to-know-explained-429aad86b92e	NULL	NULL		NULL		2019
18599	403 Forbidden	http://datahacker.rs/introduction-to-deep-learning/	NULL	NULL		NULL		2019
18600	403 Forbidden	http://datahacker.rs/intro-to-deep-learning-2/	NULL	NULL		NULL		2019
18602	403 Forbidden	http://datahacker.rs/image-representation/	NULL	NULL		NULL		2019
18603	403 Forbidden	http://datahacker.rs/gradient-descent/	NULL	NULL		NULL		2019
18604	403 Forbidden	http://datahacker.rs/gradient-descent-python/	NULL	NULL		NULL		2019
18605	403 Forbidden	http://datahacker.rs/logistic-regression-cost-function/	NULL	NULL		NULL		2019
18607	403 Forbidden	http://datahacker.rs/computation-graph-example/	NULL	NULL		NULL		2019
18608	403 Forbidden	http://datahacker.rs/logistic-regression-scratch-python/	NULL	NULL		NULL		2019
18610	403 Forbidden	http://datahacker.rs/vectorizing-logistic-regression/	NULL	NULL		NULL		2019
18611	403 Forbidden	http://datahacker.rs/python-vectorization/	NULL	NULL		NULL		2019
18614	403 Forbidden	http://datahacker.rs/activation-functions-and-derivatives/	NULL	NULL		NULL		2019
18618	403 Forbidden	http://datahacker.rs/001-pytorch-how-to-install-pytorch-with-anaconda/	NULL	NULL		NULL		2019
18619	403 Forbidden	http://datahacker.rs/002-pytorch-what-are-tensors-in-pytorch-1-3/	NULL	NULL		NULL		2019
18620	403 Forbidden	http://datahacker.rs/003-pytorch-shallow-neural-network-in-pytorch-1-5/	NULL	NULL		NULL		2019
18621	403 Forbidden	http://datahacker.rs/mnist-handwritten-digit-recognition-in-pytorch-1-3/	NULL	NULL		NULL		2019
18622	403 Forbidden	http://datahacker.rs/005-pytorch-convolutional-neural-network-on-mnist-in-pytorch/	NULL	NULL		NULL		2019
18623	403 Forbidden	http://datahacker.rs/deep-layer-neural-network/	NULL	NULL		NULL		2019
18624	403 Forbidden	http://datahacker.rs/building-blocks-deep-neural-network/	NULL	NULL		NULL		2019
18625	403 Forbidden	http://datahacker.rs/deep-neural-network-from-scratch-python//	NULL	NULL		NULL		2019
18626	403 Forbidden	http://datahacker.rs/computer-vision/	NULL	NULL		NULL		2019
18627	403 Forbidden	http://datahacker.rs/edge-detection/	NULL	NULL		NULL		2019
18628	403 Forbidden	http://datahacker.rs/edge-detection-extended/	NULL	NULL		NULL		2019
18629	403 Forbidden	http://datahacker.rs/what-is-padding-cnn/	NULL	NULL		NULL		2019
18630	403 Forbidden	http://datahacker.rs/what-is-stride-cnn/	NULL	NULL		NULL		2019
18631	403 Forbidden	http://datahacker.rs/convolution-rgb-image/	NULL	NULL		NULL		2019
18632	403 Forbidden	http://datahacker.rs/one-layer-covolutional-neural-network/	NULL	NULL		NULL		2019
18633	403 Forbidden	http://datahacker.rs/example-of-convolutional-neural-network/	NULL	NULL		NULL		2019
18634	403 Forbidden	http://datahacker.rs/pooling-layers-cnn/	NULL	NULL		NULL		2019
18635	403 Forbidden	http://datahacker.rs/convolutional-neural-network-begineers/	NULL	NULL		NULL		2019
18636	403 Forbidden	http://datahacker.rs/why-convolution/	NULL	NULL		NULL		2019
18638	403 Forbidden	http://datahacker.rs/deep-learning-lenet-5-architecture/	NULL	NULL		NULL		2019
18639	403 Forbidden	http://datahacker.rs/deep-learning-alexnet-architecture/	NULL	NULL		NULL		2019
18640	403 Forbidden	http://datahacker.rs/deep-learning-vgg-16-vs-vgg-19/	NULL	NULL		NULL		2019
18641	403 Forbidden	http://datahacker.rs/deep-learning-residual-networks/	NULL	NULL		NULL		2019
18642	403 Forbidden	http://datahacker.rs/deep-learning-learn-how-resnet-work/	NULL	NULL		NULL		2019
18643	403 Forbidden	http://datahacker.rs/introduction-into-1x1-convolution/	NULL	NULL		NULL		2019
18644	403 Forbidden	http://datahacker.rs/deep-learning-inception-network/	NULL	NULL		NULL		2019
18645	403 Forbidden	http://datahacker.rs/building-inception-network/	NULL	NULL		NULL		2019
18646	403 Forbidden	http://datahacker.rs/transfer-learning-deep-learning/	NULL	NULL		NULL		2019
18647	403 Forbidden	http://datahacker.rs/deep-learning-data-augmentation/	NULL	NULL		NULL		2019
18648	403 Forbidden	http://datahacker.rs/deep-learning-object-localization/	NULL	NULL		NULL		2019
18649	403 Forbidden	http://datahacker.rs/deep-learning-landmark-detection/	NULL	NULL		NULL		2019
18650	403 Forbidden	http://datahacker.rs/deep-learning-object-detection/	NULL	NULL		NULL		2019
18651	403 Forbidden	http://datahacker.rs/convolutional-operation-of-sliding-windows/	NULL	NULL		NULL		2019
18652	403 Forbidden	http://datahacker.rs/deep-learning-bounding-boxes/	NULL	NULL		NULL		2019
18653	403 Forbidden	http://datahacker.rs/deep-learning-intersection-over-union/	NULL	NULL		NULL		2019
18654	403 Forbidden	http://datahacker.rs/deep-learning-non-max-suppression/	NULL	NULL		NULL		2019
18655	403 Forbidden	http://datahacker.rs/deep-learning-anchor-boxes/	NULL	NULL		NULL		2019
18656	403 Forbidden	http://datahacker.rs/object-detection-yolo-algorithm/	NULL	NULL		NULL		2019
18657	403 Forbidden	http://datahacker.rs/deep-learning-one-shot-learning/	NULL	NULL		NULL		2019
18658	403 Forbidden	http://datahacker.rs/one-shot-learning-with-siamese-neural-network/	NULL	NULL		NULL		2019
18659	403 Forbidden	http://datahacker.rs/siamese-network-triplet-loss/	NULL	NULL		NULL		2019
18661	The Unreasonable Progress of Deep Neural Networks in NLP	https://blog.exxactcorp.com/the-unreasonable-progress-of-deep-neural-networks-in-natural-language-processing-nlp/	NULL	NULL		NULL		2019
18662	Deep Learning in Natural Language Processing: History and Achievements - Exxact	https://blog.exxactcorp.com/deep-learning-in-natural-language-processing-history-and-achievements/	NULL	NULL		NULL		2019
18663	A Deep Dive Into the Transformer Architecture – The Development of Transformer Models - Exxact	https://blog.exxactcorp.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models/	NULL	NULL		NULL		2019
18664	Why We Need Bias in Neural Networks | by ?ukasz Gebel | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/why-we-need-bias-in-neural-networks-db8f7e07cb98	NULL	NULL		NULL		2019
18665	How to Differentiate Gradient Descent Objective Function in 3 simple steps | by ?ukasz Gebel | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/how-to-differentiate-gradient-descent-objective-function-in-3-simple-steps-b9d58567d387	NULL	NULL		NULL		2019
18666	403 Forbidden	https://machinelearningmastery.com/what-is-bayesian-optimization/	NULL	NULL		NULL		2019
18668	What You Need to Know About Deep Reinforcement Learning - Exxact	https://blog.exxactcorp.com/what-you-need-to-know-about-deep-reinforcement-learning/	NULL	NULL		NULL		2019
18669	The 4 Best Jupyter Notebook Environments for Deep Learning - Exxact	https://blog.exxactcorp.com/the-4-best-jupyter-notebook-environments-for-deep-learning/	NULL	NULL		NULL		2019
18670	Activation Functions and Optimizers for Deep Learning Models | Exxact Inc	https://blog.exxactcorp.com/activation-functions-and-optimizers-for-deep-learning-models/	NULL	NULL		NULL		2019
18671	5 Types of LSTM Recurrent Neural Networks and What to Do With Them	https://blog.exxactcorp.com/5-types-lstm-recurrent-neural-network/	NULL	NULL		NULL		2019
18672	403 Forbidden	http://datahacker.rs/introduction-into-tensorflow/	NULL	NULL		NULL		2019
18673	How to do text similarity search and document clustering in BigQuery | by Lak Lakshmanan | Aug, 2020 | Towards Data Science	https://towardsdatascience.com/how-to-do-text-similarity-search-and-document-clustering-in-bigquery-75eb8f45ab65	NULL	NULL		NULL		2019
18674	Weight Initialization Techniques in Neural Networks | by Saurabh Yadav | Towards Data Science	https://towardsdatascience.com/weight-initialization-techniques-in-neural-networks-26c649eb3b78	NULL	NULL		NULL		2019
18675	Deep Learning's Most Important Ideas - A Brief Historical Review	https://dennybritz.com/blog/deep-learning-most-important-ideas/	NULL	NULL		NULL		2019
18676	Back Propagation through time - RNN - GeeksforGeeks	https://www.geeksforgeeks.org/ml-back-propagation-through-time/?ref=rp	NULL	NULL		NULL		2020
18677	Implementation of neural network from scratch using NumPy - GeeksforGeeks	https://www.geeksforgeeks.org/implementation-of-neural-network-from-scratch-using-numpy/?ref=rp	NULL	NULL		NULL		2020
18678	ML | Naive Bayes Scratch Implementation using Python - GeeksforGeeks	https://www.geeksforgeeks.org/ml-naive-bayes-scratch-implementation-using-python/?ref=rp	NULL	NULL		NULL		2020
18679	Deep Neural Network With L - Layers - GeeksforGeeks	https://www.geeksforgeeks.org/deep-neural-network-with-l-layers/?ref=rp	NULL	NULL		NULL		2020
18680	A single neuron neural network in Python - GeeksforGeeks	https://www.geeksforgeeks.org/single-neuron-neural-network-python/?ref=rp	NULL	NULL		NULL		2020
18681	Implementing Artificial Neural Network training process in Python - GeeksforGeeks	https://www.geeksforgeeks.org/implementing-ann-training-process-in-python/?ref=rp	NULL	NULL		NULL		2020
18682	Affinity Propagation in ML | To find the number of clusters - GeeksforGeeks	https://www.geeksforgeeks.org/affinity-propagation-in-ml-to-find-the-number-of-clusters/?ref=rp	NULL	NULL		NULL		2019
18683	Difference between Backward and Forward chaining - GeeksforGeeks	https://www.geeksforgeeks.org/difference-between-backward-and-forward-chaining-2/?ref=rp	NULL	NULL		NULL		2020
18684	Deep Neural net with forward and back propagation from scratch - Python - GeeksforGeeks	https://www.geeksforgeeks.org/deep-neural-net-with-forward-and-back-propagation-from-scratch-python/?ref=rp	NULL	NULL		NULL		2020
18685	Most Common Loss Functions in Machine Learning | by Sparsh Gupta | Towards Data Science	https://towardsdatascience.com/most-common-loss-functions-in-machine-learning-c7212a99dae0	NULL	NULL		NULL		2019
18686	An Introduction to Neural Networks | by Simon Campbell | AI In Plain English | Medium	https://medium.com/ai-in-plain-english/ai-taking-a-peek-under-the-hood-part-1-an-introduction-to-neural-networks-68337f7b7a65	NULL	NULL		NULL		2019
18687	AI: Taking A Peek Under The Hood. Part 2, Creating a Two-Layer Neural Network the Old-Fashioned Way | by Simon Campbell | Towards Data Science	https://towardsdatascience.com/ai-taking-a-peek-under-the-hood-part-2-creating-a-two-layer-neural-network-the-old-fashioned-way-568ce2cf6d06	NULL	NULL		NULL		2019
18780	NLP From Scratch: Translation with a Sequence to Sequence Network and Attention — PyTorch Tutorials 1.6.0 documentation	https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html#sphx-glr-intermediate-seq2seq-translation-tutorial-py	NULL	NULL		NULL		2019
18814	The Linear Algebra View of Least-Squares Regression | by Andrew Chamberlain, Ph.D. | Medium	https://medium.com/@andrew.chamberlain/the-linear-algebra-view-of-least-squares-regression-f67044b7f39b	NULL	NULL		NULL		2019
18816	The Last SQL Guide for Data Analysis You’ll Ever Need - KDnuggets	https://www.kdnuggets.com/2019/10/last-sql-guide-data-analysis-ever-need.html	NULL	NULL		NULL		2019
18817	The Ultimate Scikit-Learn Machine Learning Cheatsheet - KDnuggets	https://www.kdnuggets.com/2021/01/ultimate-scikit-learn-machine-learning-cheatsheet.html	NULL	NULL		NULL		2019
18818	Model Checkpointing Implementation | Model Checkpointing for DL	https://www.analyticsvidhya.com/blog/2021/03/improving-your-deep-learning-model-using-model-checkpointing-implementation-part-2/	NULL	NULL		NULL		2021
18831	PyTorch Basics Part 1. P | by saketh-saraswathi | Chatbots Life	https://chatbotslife.com/pytorch-basics-part-1-7ceb18463c9c	NULL	NULL		NULL		2019
18832	Attention Craving RNNS: Building Up To Transformer Networks | by William Falcon | Towards Data Science	https://towardsdatascience.com/attention-craving-rnns-a-journey-into-attention-mechanisms-eec840fbc26f	NULL	NULL		NULL		2019
18833	Variational Autoencoder Demystified With PyTorch Implementation. | by William Falcon | Towards Data Science	https://towardsdatascience.com/variational-autoencoder-demystified-with-pytorch-implementation-3a06bee395ed	NULL	NULL		NULL		2019
18835	Demystifying deep learning – TechTalks	https://bdtechtalks.com/2021/01/28/deep-learning-explainer/	NULL	NULL		NULL		2021
18839	Universal Approximation Theorem: Proof with Code | by Keenan Moukarzel | Artificial Intelligence in Plain English	https://medium.com/ai-in-plain-english/universal-approximation-theorem-proof-with-code-778ac30c341b	NULL	NULL		NULL		2019
18845	Beginners Guide to Robotics With Python - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/03/beginners-guide-to-robotics-with-python/	NULL	NULL		NULL		2021
19164	An Overview for Text Representations in NLP | by jiawei hu | Towards Data Science	https://towardsdatascience.com/an-overview-for-text-representations-in-nlp-311253730af1	NULL	NULL		NULL		2019
19165	The Transformer Isn’t As Hard To Understand As You Might Think | by jiawei hu | Towards Data Science	https://towardsdatascience.com/knocking-on-transformers-door-attention-mechanism-explained-intuitively-df5d4fcecdf8	NULL	NULL		NULL		2019
19166	4 Sentence Embedding Techniques One Should Know| With Python Codes	https://www.analyticsvidhya.com/blog/2020/08/top-4-sentence-embedding-techniques-using-python/	NULL	NULL		NULL		2019
19167	From Theory To Practice: Representing Graphs | by Vaidehi Joshi | basecs | Medium	https://medium.com/basecs/from-theory-to-practice-representing-graphs-cfd782c5be38	NULL	NULL		NULL		2019
19168	10 Graph Algorithms Visually Explained | by Vijini Mallawaarachchi | Towards Data Science	https://towardsdatascience.com/10-graph-algorithms-visually-explained-e57faa1336f3	NULL	NULL		NULL		2019
19171	Large Graph Visualization Tools and Approaches | by Sviatoslav Iguana | Towards Data Science	https://towardsdatascience.com/large-graph-visualization-tools-and-approaches-2b8758a1cd59	NULL	NULL		NULL		2019
19177		https://towardsdatascience.com/bert-why-its-been-revolutionizing-nlp-5d1bcae76a13	NULL	NULL		NULL		2019
19178	3 Deep Learning Algorithms in under 5 minutes — Part 1 (Feed forward models) | by Thushan Ganegedara | Towards Data Science	https://towardsdatascience.com/3-deep-learning-algorithms-in-under-5-minutes-part-1-feed-forward-models-1065992e2ccd	NULL	NULL		NULL		2019
19179	3 Deep Learning Algorithms in under 5 minutes — Part 2 (Deep Sequential Models) | by Thushan Ganegedara | Towards Data Science	https://towardsdatascience.com/3-deep-learning-algorithms-in-under-5-minutes-part-2-deep-sequential-models-b84e3a29d9a8	NULL	NULL		NULL		2019
19180	Quick ML Concepts: Tensors. Tensorflow, Tensorlab, Deep Tensorized... | by Enoch Kan | Towards Data Science	https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f	NULL	NULL		NULL		2019
19181	Precision vs Recall | Precision and Recall Machine Learning	https://www.analyticsvidhya.com/blog/2020/09/precision-recall-machine-learning/	NULL	NULL		NULL		2020
19182	NLP for EHR? — Natural Language Processing for Electronic Health Records | by Dr. Dataman | Dataman in AI | Medium	https://towardsdatascience.com/natural-language-processing-nlp-for-electronic-health-record-ehr-part-ii-1b2a024ea03a	NULL	NULL		NULL		2019
19184	Looking into Natural Language Processing (NLP) | by Dr. Dataman | Dataman in AI | Medium	https://towardsdatascience.com/natural-language-processing-nlp-for-electronic-health-record-ehr-part-i-4cb1d4c2f24b	NULL	NULL		NULL		2019
19190	PyTorch internals :  Inside 245-5D	http://blog.ezyang.com/2019/05/pytorch-internals/	NULL	NULL		NULL		2019
19191	Backpropagation Demo	https://remykarem.github.io/backpropagation-demo/	NULL	NULL		NULL		2019
19192	5 Derivatives to Excel in Your Machine Learning Interview | by Ester Hlav | Towards Data Science	https://towardsdatascience.com/5-derivatives-to-excel-in-your-machine-learning-interview-25601c3ba9fc	NULL	NULL		NULL		2019
19193	Academics Are Really Worried About Cancel Culture - The Atlantic	https://www.theatlantic.com/ideas/archive/2020/09/academics-are-really-really-worried-about-their-freedom/615724/	NULL	NULL		NULL		2020
19194	Activation Functions in Deep Learning: From Softmax to Sparsemax — Math Proof | by Ester Hlav | Towards Data Science	https://towardsdatascience.com/activation-functions-in-deep-learning-from-softmax-to-sparsemax-math-proof-50c1eb293456	NULL	NULL		NULL		2019
19195	Convolutional Neural Networks, Explained | by Mayank Mishra | Towards Data Science	https://towardsdatascience.com/convolutional-neural-networks-explained-9cc5188c4939	NULL	NULL		NULL		2019
19196	Visualize How a Neural Network Works from Scratch | by Angela Shi | Towards Data Science	https://towardsdatascience.com/visualize-how-a-neural-network-works-from-scratch-3c04918a278	NULL	NULL		NULL		2019
19197	Top 10 Learning Resources for Graph Neural Networks | by Kacper Kubara | Towards Data Science	https://towardsdatascience.com/top-10-learning-resources-for-graph-neural-networks-f24d4eb2cc2b	NULL	NULL		NULL		2019
19198	Graph Convolutional Networks | Thomas Kipf | University of Amsterdam	https://tkipf.github.io/graph-convolutional-networks/	NULL	NULL		NULL		2019
19199	Deep Learning Algorithms — The Complete Guide | by Sergios Karagiannakos | Towards Data Science	https://towardsdatascience.com/deep-learning-algorithms-the-complete-guide-e4e7c535b2fc	NULL	NULL		NULL		2019
19200	Chatbots: Creating Natural Language From Structured Data | by Cobus Greyling | Medium	https://medium.com/@CobusGreyling/chatbots-creating-natural-language-from-structured-data-bbc81ee6c78c	NULL	NULL		NULL		2019
19201	Exploring the Simple & Satisfying Math Behind Regularization | by Andre Ye | Towards Data Science	https://towardsdatascience.com/exploring-the-simple-satisfying-math-behind-regularization-2c947755d19f	NULL	NULL		NULL		2019
19202	OpenAI's GPT-3 Language Model: A Technical Overview	https://lambdalabs.com/blog/demystifying-gpt-3/	NULL	NULL		NULL		2020
19203	GPT-3 A Hitchhiker's Guide	https://lambdalabs.com/blog/gpt-3/	NULL	NULL		NULL		2020
19204	Word2vec	https://devopedia.org/word2vec	NULL	NULL		NULL		2019
19205	Artificial Neural Network	https://devopedia.org/artificial-neural-network	NULL	NULL		NULL		2019
19206	A survey of cross-lingual word embedding models	https://ruder.io/cross-lingual-embeddings/	NULL	NULL		NULL		2016
19207	Develop & Compare Reinforcement Learning Algorithms with OpenAI Gym	https://www.analyticsvidhya.com/blog/2020/09/developing-new-machine-learning-using-openai-gym/	NULL	NULL		NULL		2020
19208	Google TAPAS is a BERT-Based Model to Query Tabular Data Using Natural Language | by Jesus Rodriguez | DataSeries | Medium	https://medium.com/dataseries/google-tapas-is-a-bert-based-model-to-query-tabular-data-using-natural-language-2435a386b43f	NULL	NULL		NULL		2019
19209	On Making A Multilingual Search Engine | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/on-making-a-multilingual-search-engine-9472a7c0dfa7	NULL	NULL		NULL		2019
19210	Transfer Learning In NLP — Part 2 | by Pratik Bhavsar | Modern NLP | Medium	https://medium.com/modern-nlp/20-questions-to-test-your-skills-in-transfer-learning-for-nlp-7d9f6c5f8fdc	NULL	NULL		NULL		2019
19211	Machine Learning Algorithms For Beginners with Code Examples in Python | by Towards AI Team | Towards AI	https://medium.com/towards-artificial-intelligence/machine-learning-algorithms-for-beginners-with-python-code-examples-ml-19c6afd60daa	NULL	NULL		NULL		2019
19212	Monte Carlo Simulation An In-depth Tutorial with Python | by Towards AI Team | Towards AI	https://medium.com/towards-artificial-intelligence/monte-carlo-simulation-an-in-depth-tutorial-with-python-bcf6eb7856c8	NULL	NULL		NULL		2019
19213	Natural Language Processing (NLP) with Python — Tutorial | by Towards AI Team | Towards AI	https://medium.com/towards-artificial-intelligence/natural-language-processing-nlp-with-python-tutorial-for-beginners-1f54e610a1a0	NULL	NULL		NULL		2019
19214	Simplify Calculus for Machine Learning with SymPy | by Jeremiah Lutes | Towards Data Science	https://towardsdatascience.com/simplify-calculus-for-machine-learning-with-sympy-8a84e57b30bb	NULL	NULL		NULL		2019
19215	Facebook’s PyGraph is an Open Source Framework for Capturing Knowledge in Large Graphs | by Jesus Rodriguez | DataSeries | Medium	https://medium.com/dataseries/facebooks-pygraph-is-an-open-source-framework-for-capturing-knowledge-in-large-graphs-b52c0fb902e8	NULL	NULL		NULL		2019
19216	Word Representation in Natural Language Processing (Prima Parte) | by Quantum Stat | Medium	https://medium.com/@quantumstat/word-representation-in-natural-language-processing-prima-parte-3a1e4a571b6b	NULL	NULL		NULL		2019
19217	Word Representation in Natural Language Processing (Seconda Parte) | by Quantum Stat | Medium	https://medium.com/@quantumstat/word-representation-in-natural-language-processing-seconda-parte-c5016471b6e2	NULL	NULL		NULL		2019
19218	The NLP Model Forge. Unlocking Inference for 1,400 NLP... | by Quantum Stat | Towards AI	https://medium.com/towards-artificial-intelligence/the-nlp-model-forge-a46faac7b5b0	NULL	NULL		NULL		2019
19219	Information Extraction From Text Python	https://www.analyticsvidhya.com/blog/2020/06/nlp-project-information-extraction/	NULL	NULL		NULL		2020
19220	These are the Easiest Data Augmentation Techniques in Natural Language Processing you can think of — and they work. | by Jason Wei | Towards Data Science	https://towardsdatascience.com/these-are-the-easiest-data-augmentation-techniques-in-natural-language-processing-you-can-think-of-88e393fd610	NULL	NULL		NULL		2019
19221	Python NLP Tutorial: Information Extraction and Knowledge Graphs | by Marius Borcan | The Startup | Medium	https://medium.com/swlh/python-nlp-tutorial-information-extraction-and-knowledge-graphs-43a2a4c4556c	NULL	NULL		NULL		2019
19222	Latent graph neural networks: Manifold learning 2.0? | by Michael Bronstein | Towards Data Science	https://towardsdatascience.com/manifold-learning-2-99a25eeb677d	NULL	NULL		NULL		2019
19225	The Most Complete Guide to PyTorch for Data Scientists | by Rahul Agarwal | Towards Data Science	https://towardsdatascience.com/minimal-pytorch-subset-for-deep-learning-for-data-scientists-8ccbd1ccba6b	NULL	NULL		NULL		2019
19226	An Introductory Reinforcement Learning Project: Learning Tic-Tac-Toe via Self-Play Tabular Q-learning | by Ryan Rudes | Towards Data Science	https://towardsdatascience.com/an-introductory-reinforcement-learning-project-learning-tic-tac-toe-via-self-play-tabular-b8b845e18fe	NULL	NULL		NULL		2019
19227	An Intuitive Guide to Auto-Encoders: Theory, Code and Visualization | by Victor Sim | Towards Data Science	https://towardsdatascience.com/an-intuitive-guide-to-auto-encoders-theory-code-and-visualization-3cc2a6a30d2c	NULL	NULL		NULL		2019
19228	The Mathematics Behind Deep Learning | by Trist'n Joseph | Towards Data Science	https://towardsdatascience.com/the-mathematics-behind-deep-learning-f6c35a0fe077	NULL	NULL		NULL		2019
19229	Intro to Vectors and Matrices in Machine Learning | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/intro-to-vectors-and-matrices-in-machine-learning-4904be73d251	NULL	NULL		NULL		2019
19230	Automatic Differentiation in PyTorch | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/automatic-differentiation-in-pytorch-6131b4581cdf	NULL	NULL		NULL		2019
19232	Hyper-parameters in Action! Introducing DeepReplay | by Daniel Godoy | Towards Data Science	https://towardsdatascience.com/hyper-parameters-in-action-introducing-deepreplay-31132a7b9631	NULL	NULL		NULL		2019
19234	Animations of Neural Networks Transforming Data | by Angela Shi | Towards Data Science	https://towardsdatascience.com/animations-of-neural-networks-transforming-data-42005e8fffd9	NULL	NULL		NULL		2019
19236	Statistical techniques for anomaly detection | by Mahbubul Alam | Towards Data Science	https://towardsdatascience.com/statistical-techniques-for-anomaly-detection-6ac89e32d17a	NULL	NULL		NULL		2019
19237	Machine Learning Tasks on Graphs. Can We Divide It Into... | by Kacper Kubara | Towards Data Science	https://towardsdatascience.com/machine-learning-tasks-on-graphs-7bc8f175119a	NULL	NULL		NULL		2019
19238	Monte Carlo Methods, Made Simple. Using Chaos to Find Clarity | by Andre Ye | Towards Data Science	https://towardsdatascience.com/monte-carlo-methods-made-simple-91758ba58dde	NULL	NULL		NULL		2019
19239	Top Down Introduction to BERT with HuggingFace and PyTorch | skok.ai	https://skok.ai/2020/05/11/Top-Down-Introduction-to-BERT.html	NULL	NULL		NULL		2020
19240	Autoencoder Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/autoencoder	NULL	NULL		NULL		2019
19242	N-Grams Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/n-gram	NULL	NULL		NULL		2019
19243	Linear Programming Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/linear-programming	NULL	NULL		NULL		2019
19244	Mathematical Optimization Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/mathematical-optimization	NULL	NULL		NULL		2019
19245	Eigenvector Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/eigenvector	NULL	NULL		NULL		2019
19246	Generative Adversarial Networks. Understanding the GAN game with MNIST | by NVS Yashwanth | Towards Data Science	https://towardsdatascience.com/generative-adversarial-networks-6a17673db367	NULL	NULL		NULL		2019
19247	Attention Models Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/attention-models	NULL	NULL		NULL		2019
19248	Tensor Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/tensor	NULL	NULL		NULL		2019
19249	Generative Adversarial Network Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/generative-adversarial-network	NULL	NULL		NULL		2019
19250	Neural Machine Translation Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/neural-machine-translation	NULL	NULL		NULL		2019
19251	Chain Rule Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/chain-rule	NULL	NULL		NULL		2019
19252	Markov Chain Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/markov-chain	NULL	NULL		NULL		2019
19253	Autoregessive Model Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/autoregressive-model	NULL	NULL		NULL		2019
19254	Bidirectional Recurrent Neural Networks Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/bidirectional-recurrent-neural-networks	NULL	NULL		NULL		2019
19255	Hidden Layer Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/hidden-layer-machine-learning	NULL	NULL		NULL		2019
19256	Eigenvalue Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/eigenvalue	NULL	NULL		NULL		2019
19257	Knowledge Graph Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/knowledge-graph	NULL	NULL		NULL		2019
19258	Markov Decision Process Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/markov-decision-process	NULL	NULL		NULL		2019
19259	Perceptron Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/perceptron	NULL	NULL		NULL		2019
19260	Adversarial Machine Learning Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/adversarial-machine-learning	NULL	NULL		NULL		2019
19261	Logistic Regression R | Introduction to Logistic Regression	https://www.analyticsvidhya.com/blog/2015/11/beginners-guide-on-logistic-regression-in-r	NULL	NULL		NULL		2015
19262	Markov Matrix Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/markov-matrix	NULL	NULL		NULL		2019
19263	How GPT3 Works - Visualizations and Animations – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/how-gpt3-works-visualizations-animations/	NULL	NULL		NULL		2019
19264	Knowledge Graphs at a Glance. Incorporate human knowledge into... | by Giuseppe Futia | Towards Data Science	https://towardsdatascience.com/knowledge-graphs-at-a-glance-c9119130a9f0	NULL	NULL		NULL		2019
19265	Calculating Document Similarities using BERT, word2vec, and other models | by Varun | Towards Data Science	https://towardsdatascience.com/calculating-document-similarities-using-bert-and-other-models-b2c1a29c9630	NULL	NULL		NULL		2019
19266	How does a neural network learn?. In the second part of this series, we... | by Gerry Chng | Towards Data Science	https://towardsdatascience.com/how-does-a-neural-network-learn-f33bcff61026	NULL	NULL		NULL		2019
19267	A Practical Guide to ReLU. Start using and understanding ReLU... | by Danqing Liu | Medium	https://medium.com/@danqing/a-practical-guide-to-relu-b83ca804f1f7	NULL	NULL		NULL		2019
19268	Extractive Summarization with BERT - Chris Tran	https://chriskhanhtran.github.io/posts/extractive-summarization-with-bert/	NULL	NULL		NULL		2020
19269	Teaching an AI to summarise news articles: A new dataset for abstractive summarisation | by Henry Dashwood | Curation Corporation | Medium	https://medium.com/curation-corporation/teaching-an-ai-to-abstract-a-new-dataset-for-abstractive-auto-summarisation-5227f546caa8	NULL	NULL		NULL		2019
19270	Word representations · fastText	https://fasttext.cc/docs/en/unsupervised-tutorial.html	NULL	NULL		NULL		2019
19271	Transformers are Graph Neural Networks	https://thegradient.pub/transformers-are-graph-neural-networks/	NULL	NULL		NULL		2020
19273	A sane introduction to maximum likelihood estimation (MLE) and maximum a posteriori (MAP) | Terra Incognita	https://blog.christianperone.com/2019/01/mle/	NULL	NULL		NULL		2019
19274	A friendly introduction to Principal Component Analysis | peterbloem.nl	http://peterbloem.nl/blog/pca	NULL	NULL		NULL		2019
19275	A friendly introduction to Principal Component Analysis | peterbloem.nl	http://peterbloem.nl/blog/pca-2	NULL	NULL		NULL		2019
19276	Transformers from scratch | peterbloem.nl	http://peterbloem.nl/blog/transformers	NULL	NULL		NULL		2019
19278	AI & Mathematics. Exploring Mathematical and Statistical... | by Shafi | The Startup | Medium	https://medium.com/swlh/ai-mathematics-699a9ea2a0d6	NULL	NULL		NULL		2019
19279	How Does the Gradient Descent Algorithm Work in Machine Learning?	https://www.analyticsvidhya.com/blog/2020/10/how-does-the-gradient-descent-algorithm-work-in-machine-learning/	NULL	NULL		NULL		2020
19280	An Introduction to Knowledge Graphs | by Chiara Campagnola | Towards Data Science	https://towardsdatascience.com/an-introduction-to-knowledge-graphs-841bbc0e796e	NULL	NULL		NULL		2019
19281	Perplexity in Language Models. Evaluating language models using the... | by Chiara Campagnola | Towards Data Science	https://towardsdatascience.com/perplexity-in-language-models-87a196019a94	NULL	NULL		NULL		2019
19282	Visualizing Word Embedding with PCA and t-SNE | by Ruben Winastwan | Towards Data Science	https://towardsdatascience.com/visualizing-word-embedding-with-pca-and-t-sne-961a692509f5	NULL	NULL		NULL		2019
19283	Evolution of NLP — Part 1 — Bag of Words, TF-IDF | by Kanishk Jain | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/evolution-of-nlp-part-1-bag-of-words-tf-idf-9518cb59d2d1	NULL	NULL		NULL		2019
19284	Evolution of NLP — Part 2 — Recurrent Neural Networks | by Kanishk Jain | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/evolution-of-nlp-part-2-recurrent-neural-networks-af483f708c3d	NULL	NULL		NULL		2019
19285	Evolution of NLP — Part 3 — Transfer Learning Using ULMFit | by Kanishk Jain | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/evolution-of-nlp-part-3-transfer-learning-using-ulmfit-267d0a73421e	NULL	NULL		NULL		2019
19286	Generative Classification Algorithms from Scratch | by Daniel Friedman | Towards Data Science	https://towardsdatascience.com/generative-classification-algorithms-from-scratch-d6bf0a81dcf7	NULL	NULL		NULL		2019
19287	Natural Language Tool Kit 3.5. Search Functions, Statistics, Pronoun... | by Jake Batsuuri | The Startup | Medium	https://medium.com/swlh/natural-language-tool-kit-3-5-6551dd9c4843	NULL	NULL		NULL		2019
19288	Notes on Formal Language Theory. Objects, Operations, Regular... | by Jake Batsuuri | The Startup | Medium	https://medium.com/swlh/notes-on-formal-language-theory-7bae9f5bd9cb	NULL	NULL		NULL		2019
19289	10 Data Science Libraries that make Data Science a Cakewalk in Python!	https://www.analyticsvidhya.com/blog/2020/10/the-hidden-gems-of-python-libraries-that-make-data-science-a-cakewalk/	NULL	NULL		NULL		2020
19290	A Beginners Guide to Gradient Descent Algorithm for Data Scientists!	https://www.analyticsvidhya.com/blog/2020/10/what-does-gradient-descent-actually-mean/	NULL	NULL		NULL		2020
19292	Training Graph Convolutional Networks on Node Classification Task | by Inneke Mayachita | Towards Data Science	https://towardsdatascience.com/graph-convolutional-networks-on-node-classification-2b6bbec1d042	NULL	NULL		NULL		2019
19293	How to Build Neural Network from Scratch | by Arseny Turin | Towards Data Science	https://towardsdatascience.com/how-to-build-neural-network-from-scratch-d202b13d52c1	NULL	NULL		NULL		2019
19294	Decision Tree Implementation in Python From Scratch	https://www.analyticsvidhya.com/blog/2020/10/all-about-decision-tree-from-scratch-with-python-implementation/	NULL	NULL		NULL		2020
19295	The Two-Headed Neural Network Shaking Up Image Recognition | by Andre Ye | Towards Data Science	https://towardsdatascience.com/the-two-headed-neural-network-shaking-up-image-recognition-8c3c7093d61b	NULL	NULL		NULL		2019
19296	Your Guide to Linear Regression Models | by Diego Lopez Yse | Towards Data Science	https://towardsdatascience.com/your-guide-to-linear-regression-models-df1d847185db	NULL	NULL		NULL		2019
19297	Multiple Linear Regression. A complete study — Model Interpretation... | by Sangeet Aggarwal | Towards Data Science	https://towardsdatascience.com/multiple-linear-regression-8cf3bee21d8b	NULL	NULL		NULL		2019
19298	Simple Linear Regression. Everything you need to know about... | by Sangeet Aggarwal | Towards Data Science	https://towardsdatascience.com/simple-linear-regression-35b3d940950e	NULL	NULL		NULL		2019
19299	Is it possible for language models to achieve language understanding? | by Christopher Potts | Medium	https://medium.com/@ChrisGPotts/is-it-possible-for-language-models-to-achieve-language-understanding-81df45082ee2	NULL	NULL		NULL		2019
19300	A Simple Explanation of K-Means Clustering and its Adavantages	https://www.analyticsvidhya.com/blog/2020/10/a-simple-explanation-of-k-means-clustering/	NULL	NULL		NULL		2020
19301	Build a Trivia Bot using T5 Transformer | by Priya Dwivedi | Analytics Vidhya | Medium	https://medium.com/@priya.dwivedi/build-a-trivia-bot-using-t5-transformer-345ff83205b6	NULL	NULL		NULL		2019
19302	Understanding Dynamic Programming | by Aniruddha Karajgi | Towards Data Science	https://towardsdatascience.com/understanding-dynamic-programming-75238de0db0d	NULL	NULL		NULL		2019
19303	Web Scraping Tools Comparison - All You Need to Get Started | Towards Data Science	https://towardsdatascience.com/web-scraping-tools-comparison-all-you-need-to-get-started-915f1d0d57d8	NULL	NULL		NULL		2019
19304	A Quick Guide to Activation Functions In Deep Learning | by Sahdev Kansal | Towards Data Science	https://towardsdatascience.com/a-quick-guide-to-activation-functions-in-deep-learning-4042e7addd5b	NULL	NULL		NULL		2019
19305	Topic Modeling with BERT. | Towards Data Science	https://towardsdatascience.com/topic-modeling-with-bert-779f7db187e6	NULL	NULL		NULL		2019
19306	An Introduction to Deep Reinforcement Learning | Medium	https://medium.com/@thomassimonini/an-introduction-to-deep-reinforcement-learning-17a565999c0c	NULL	NULL		NULL		2019
19307	On Implementing Deep Learning Library from Scratch in Python | by Parmeet Bhatia | Towards Data Science	https://towardsdatascience.com/on-implementing-deep-learning-library-from-scratch-in-python-c93c942710a8	NULL	NULL		NULL		2019
19308	403 Forbidden	https://harpers.org/archive/2020/09/nonconforming/	NULL	NULL		NULL		2019
19309	Machine Learning Visualization. A collection of a few interesting... | by Pier Paolo Ippolito | Towards Data Science	https://towardsdatascience.com/machine-learning-visualization-fcc39a1e376a	NULL	NULL		NULL		2019
19310	Feature Selection Techniques in Machine Learning	https://www.analyticsvidhya.com/blog/2020/10/feature-selection-techniques-in-machine-learning/	NULL	NULL		NULL		2020
19311	An Introduction To Mathematics Behind Neural Networks  | Towards Data Science	https://towardsdatascience.com/introduction-to-math-behind-neural-networks-e8b60dbbdeba	NULL	NULL		NULL		2019
19312	What Are Regular Languages?. Minimization, Finite State Transducers... | by Jake Batsuuri | Medium	https://medium.com/@tbatsuur/what-are-regular-languages-ea08917117d4	NULL	NULL		NULL		2019
19313	Context of Natural Language Processing | by Jake Batsuuri | The Startup | Medium	https://medium.com/swlh/context-of-natural-language-processing-be3c945015b9	NULL	NULL		NULL		2019
19316	Evaluation Metrics For Machine Learning For Data Scientists	https://www.analyticsvidhya.com/blog/2020/10/quick-guide-to-evaluation-metrics-for-supervised-and-unsupervised-machine-learning/	NULL	NULL		NULL		2020
19317	Gaussian Mixture Models vs K-Means. | by K.Kubara | Towards Data Science	https://towardsdatascience.com/gaussian-mixture-models-vs-k-means-which-one-to-choose-62f2736025f0	NULL	NULL		NULL		2019
19318	An intuitive explanation of Self Attention | by Saketh Kotamraju | Towards Data Science	https://towardsdatascience.com/an-intuitive-explanation-of-self-attention-4f72709638e1	NULL	NULL		NULL		2019
19319	Understanding Principal Component Analysis | by Trist'n Joseph | Towards Data Science	https://towardsdatascience.com/understanding-principal-component-analysis-ddaf350a363a	NULL	NULL		NULL		2019
19320	PCA (Principal Component Analysis) Machine Learning Tutorial	https://www.dezyre.com/data-science-in-python-tutorial/principal-component-analysis-tutorial	NULL	NULL		NULL		2019
19321	A Step-by-Step Explanation of Principal Component Analysis	https://builtin.com/data-science/step-step-explanation-principal-component-analysis	NULL	NULL		NULL		2019
19322	ML | Principal Component Analysis(PCA) - GeeksforGeeks	https://www.geeksforgeeks.org/ml-principal-component-analysispca/	NULL	NULL		NULL		2019
19323	Demystification & Basics Of Logistic Regression for Data Scientists	https://www.analyticsvidhya.com/blog/2020/10/demystification-of-logistic-regression	NULL	NULL		NULL		2020
19324	Deniz Yuret's Homepage: A simple explanation of Variational Autoencoders	http://www.denizyuret.com/2019/11/a-simple-explanation-of-variational.html	NULL	NULL		NULL		2019
19325	Understanding Transformers, the Programming Way | by Rahul Agarwal | Towards Data Science	https://towardsdatascience.com/understanding-transformers-the-programming-way-f8ed22d112b2	NULL	NULL		NULL		2019
19326	Understanding Transformers, the Data Science Way | by Rahul Agarwal | Towards Data Science	https://towardsdatascience.com/understanding-transformers-the-data-science-way-e4670a4ee076	NULL	NULL		NULL		2019
19328	Natural Language Processing Made Simpler with 4 Basic Regular Expression Operators | by Bharath K | Towards Data Science	https://towardsdatascience.com/natural-language-processing-made-simpler-with-4-basic-regular-expression-operators-5002342cbac1	NULL	NULL		NULL		2019
19329	Getting to grips with parse trees | by Vered Zimmerman | Towards Data Science	https://towardsdatascience.com/getting-to-grips-with-parse-trees-6e19e7cd3c3c	NULL	NULL		NULL		2019
19330	Prediction Of Topics Using Multinomial Naive Bayes Classifier | by Dr. Monica | The Startup | Medium	https://medium.com/swlh/prediction-of-topics-using-multinomial-naive-bayes-classifier-2fb6f88e836f	NULL	NULL		NULL		2019
19331	You Don’t Need To Be A Mathematician To Master Quantum Computing | by Frank Zickert | Towards Data Science	https://towardsdatascience.com/you-dont-need-to-be-a-mathematician-to-master-quantum-computing-161026af8878	NULL	NULL		NULL		2019
19332	An Introduction to Graph Neural Network(GNN) For Analysing Structured Data | by Shanon Hong | Towards Data Science	https://towardsdatascience.com/an-introduction-to-graph-neural-network-gnn-for-analysing-structured-data-afce79f4cfdc	NULL	NULL		NULL		2019
19333	Introduction to Graph Representation Learning | K.  Kubara  | Towards Data Science	https://towardsdatascience.com/introduction-to-graph-representation-learning-a51c963d8d11	NULL	NULL		NULL		2019
19334	Understanding Loss Functions in Computer Vision! | by Sowmya Yellapragada | ML Cheat Sheet | Medium	https://medium.com/ml-cheat-sheet/winning-at-loss-functions-2-important-loss-functions-in-computer-vision-b2b9d293e15a	NULL	NULL		NULL		2019
19335	BERT for Everyone. How Google’s State-of-the-Art Natural... | by Andre Ye | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/bert-for-everyone-f876f3bd3383	NULL	NULL		NULL		2019
19337	A Crash Course in Markov Decision Processes, the Bellman Equation, and Dynamic Programming | by Andre Ye | Towards Data Science	https://towardsdatascience.com/a-crash-course-in-markov-decision-processes-the-bellman-equation-and-dynamic-programming-e80182207e85	NULL	NULL		NULL		2019
19338	Convolution Neural Network Maths Intuition | by Vidisha Jitani | Towards Data Science	https://towardsdatascience.com/convolution-neural-network-maths-intuition-6b047cb48e90	NULL	NULL		NULL		2019
19339	Optimizing the Levenshtein Distance for Measuring Text Similarity - KDnuggets	https://www.kdnuggets.com/2020/10/optimizing-levenshtein-distance-measuring-text-similarity.html	NULL	NULL		NULL		2019
19340	Transformer for Language Modeling | Towards Data Science	https://towardsdatascience.com/implementing-transformer-for-language-modeling-ba5dd60389a2	NULL	NULL		NULL		2019
19341	Exploratory network analysis of Marvel Universe | by Tomaz Bratanic | Towards Data Science	https://towardsdatascience.com/exploratory-network-analysis-of-marvel-universe-c557f4959048	NULL	NULL		NULL		2019
19342	Feature Ranking with Recursive Feature Elimination in Scikit-Learn - KDnuggets	https://www.kdnuggets.com/2020/10/feature-ranking-recursive-feature-elimination-scikit-learn.html	NULL	NULL		NULL		2019
19343		https://towardsdatascience.com/normal-distribution-demystified-933cf72185d2	NULL	NULL		NULL		2019
19344	Not Acceptable!	http://www.ardendertat.com/2011/05/30/how-to-implement-a-search-engine-part-1-create-index/	NULL	NULL		NULL		2019
19345	Not Acceptable!	http://www.ardendertat.com/2011/05/31/how-to-implement-a-search-engine-part-2-query-index/	NULL	NULL		NULL		2019
19346	Not Acceptable!	http://www.ardendertat.com/2011/07/17/how-to-implement-a-search-engine-part-3-ranking-tf-idf/	NULL	NULL		NULL		2019
19347	Implementing a Search Engine with Ranking in Python - The Sopranos, Silicon Valley, and Summer Afternoons	http://aakashjapi.com/fuckin-search-engines-how-do-they-work/	NULL	NULL		NULL		2015
19348	The Roadmap of Mathematics for Deep Learning | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/the-roadmap-of-mathematics-for-deep-learning-357b3db8569b	NULL	NULL		NULL		2019
19349	How Bayesian Machine Learning Works | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/how-bayesian-machine-learning-works-5fd1a746734	NULL	NULL		NULL		2019
19350	Rethinking linear algebra: visualizing linear transformations and eigenvectors – Data Science Blog	https://data-science-blog.com/blog/2020/10/27/10360/	NULL	NULL		NULL		2019
19351	A gentle introduction to the tiresome part of understanding RNN – Data Science Blog	https://data-science-blog.com/blog/2020/05/01/recurrent-neural-network/	NULL	NULL		NULL		2019
19352	Prerequisites for understanding RNN at a more mathematical level – Data Science Blog	https://data-science-blog.com/blog/2020/06/01/prerequisites-for-understanding-rnn-at-a-more-mathematical-level/	NULL	NULL		NULL		2019
19353	Simple RNN: the first foothold for understanding LSTM – Data Science Blog	https://data-science-blog.com/blog/2020/06/17/simple-rnn-the-first-foothold-for-understanding-lstm/	NULL	NULL		NULL		2019
19354	A brief history of neural nets: everything you should know before learning LSTM – Data Science Blog	https://data-science-blog.com/blog/2020/07/16/a-brief-history-of-neural-nets-everything-you-should-know-before-learning-lstm/	NULL	NULL		NULL		2019
19355	Understanding LSTM forward propagation in two ways – Data Science Blog	https://data-science-blog.com/blog/2020/08/21/into-gated-rnn-the-childhoods-end-of-simple-rnn/	NULL	NULL		NULL		2019
19356	LSTM back propagation: following the flows of variables – Data Science Blog	https://data-science-blog.com/blog/2020/09/07/back-propagation-of-lstm/	NULL	NULL		NULL		2019
19357	Spiky cubes, Pac-Man walking, empty M&M’s chocolate: curse of dimensionality – Data Science Blog	https://data-science-blog.com/blog/2020/10/08/spiky-cubes-empty-mms-chocolate-curse-of-dimensionality/	NULL	NULL		NULL		2019
19358	Illustrative introductions on dimension reduction – Data Science Blog	https://data-science-blog.com/blog/2020/10/02/illustrative-introductions-on-dimension-reduction/	NULL	NULL		NULL		2019
19359	The statistical foundations of machine learning | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/the-statistical-foundations-of-machine-learning-973c356a95f	NULL	NULL		NULL		2019
19361	Linear Regression For Beginners with Implementation in Python	https://www.analyticsvidhya.com/blog/2020/10/linear-regression-for-absolute-beginners-with-implementation-in-python/	NULL	NULL		NULL		2020
19362	ML Optimization pt.1 - Gradient Descent with Python	https://rubikscode.net/2020/10/26/ml-optimization-pt-1-gradient-descent-with-python	NULL	NULL		NULL		2019
19363	Free hands-on tutorials to get started in Natural Language Processing | by Parul Pandey | Towards Data Science	https://towardsdatascience.com/free-hands-on-tutorials-to-get-started-in-natural-language-processing-6a378e24dbfc	NULL	NULL		NULL		2019
19364	  An Introduction to AI, updated - KDnuggets	https://www.kdnuggets.com/2020/10/introduction-ai-updated.html	NULL	NULL		NULL		2019
19365	A Gentle Introduction to Self-Training and Semi-Supervised Learning | by Doug Steen | Towards Data Science	https://towardsdatascience.com/a-gentle-introduction-to-self-training-and-semi-supervised-learning-ceee73178b38	NULL	NULL		NULL		2019
19366	Fundamentals of Generative Adversarial Networks | by James Loy | Towards Data Science	https://towardsdatascience.com/fundamentals-of-generative-adversarial-networks-b7ca8c34f0bc	NULL	NULL		NULL		2019
19367	How To Use the Twitter API (in 4 Easy Steps) [Tutorial] | RapidAPI	https://rapidapi.com/blog/how-to-use-the-twitter-api/	NULL	NULL		NULL		2019
19368	Deep Reinforcement Learning Explained - Jordi TORRES.AI	https://torres.ai/deep-reinforcement-learning-explained-series/	NULL	NULL		NULL		2019
19369	A gentle introduction to Deep Reinforcement Learning | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/drl-01-a-gentle-introduction-to-deep-reinforcement-learning-405b79866bf4	NULL	NULL		NULL		2019
19370	Formalization of a Reinforcement Learning Problem | Towards Data Science	https://towardsdatascience.com/drl-02-formalization-of-a-reinforcement-learning-problem-108b52ebfd9a	NULL	NULL		NULL		2019
19371	Deep Learning Basics. Basic Concepts for Deep Reinforcement... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/deep-learning-basics-1d26923cc24a	NULL	NULL		NULL		2019
19372	Deep Learning with PyTorch. First contact with PyTorch for... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/deep-learning-with-pytorch-a93b09bdae96	NULL	NULL		NULL		2019
19373	PyTorch Performance Analysis with TensorBoard | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/pytorch-performance-analysis-with-tensorboard-7c61f91071aa	NULL	NULL		NULL		2019
19374	Solving a Reinforcement Learning Problem Using Cross-Entropy Method | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/solving-a-reinforcement-learning-problem-using-cross-entropy-method-23d9726a737	NULL	NULL		NULL		2019
19375	Cross-Entropy Method Performance Analysis | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/cross-entropy-method-performance-analysis-161a5faef5fc	NULL	NULL		NULL		2019
19376	The Bellman Equation. V-function and Q-function Explained | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/the-bellman-equation-59258a0d3fa7	NULL	NULL		NULL		2019
19377	The Value Iteration Algorithm. Estimation of Transitions and Rewards... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/the-value-iteration-algorithm-4714f113f7c5	NULL	NULL		NULL		2019
19378	Value Iteration for V-function. V-function in Practice for Frozen-Lake... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/value-iteration-for-v-function-d7bcccc1ec24	NULL	NULL		NULL		2019
19379	Value Iteration for Q-function. and THE END of this introductory series... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/value-iteration-for-q-function-ac9e508d85bd	NULL	NULL		NULL		2019
19380	Reviewing Essential Concepts. Mathematical Notation Updated and a... | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/reviewing-essential-concepts-from-part-1-e28234ee7f4f	NULL	NULL		NULL		2019
19381	Monte Carlo Methods. Exploration-Explanation Dilemma | Towards Data Science	https://towardsdatascience.com/monte-carlo-methods-9b289f030c2e	NULL	NULL		NULL		2019
19382	MC Control Methods. Constant-? MC Control | Towards Data Science	https://towardsdatascience.com/mc-control-methods-50c018271553	NULL	NULL		NULL		2019
19383	Deep Q-Network (DQN)-I. OpenAI Gym Pong and Wrappers | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/deep-q-network-dqn-i-bce08bdf2af	NULL	NULL		NULL		2019
19384	Deep Q-Network (DQN)-II. Experience Replay and Target Networks | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/deep-q-network-dqn-ii-b6bf911b6b2c	NULL	NULL		NULL		2019
19385	Deep Q-Network (DQN)-III. DQN performance and use | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/deep-q-network-dqn-iii-c5a83b0338d2	NULL	NULL		NULL		2019
19386	Policy-Based Methods. Hill Climbing algorithm | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/policy-based-methods-8ae60927a78d	NULL	NULL		NULL		2019
19387		https://towardsdatascience.com/policy-gradient-methods-104c783251e0	NULL	NULL		NULL		2019
19388	Reinforcement Learning frameworks | by Jordi TORRES.AI | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-frameworks-e349de4f645a	NULL	NULL		NULL		2019
19390	A Simple Introduction to Natural Language Processing | by Dr. Michael J. Garbade | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/a-simple-introduction-to-natural-language-processing-ea66a1747b32	NULL	NULL		NULL		2019
19391	Overview of different Optimizers for neural networks | by Renu Khandelwal | DataDrivenInvestor	https://medium.com/datadriveninvestor/overview-of-different-optimizers-for-neural-networks-e0ed119440c3	NULL	NULL		NULL		2019
19392	Entropy | Entropy in Machine Learning For Beginners	https://www.analyticsvidhya.com/blog/2020/11/entropy-a-key-concept-for-all-data-science-beginners/	NULL	NULL		NULL		2020
19393	A Quick Guide to Tokenization and Phrase Matching using spaCy | NLP | Part 2 | by Ashutosh Tripathi | Towards Data Science	https://towardsdatascience.com/a-quick-guide-to-tokenization-lemmatization-stop-words-and-phrase-matching-using-spacy-nlp-b29b407adbfc	NULL	NULL		NULL		2019
19394	The Mathematics of Deep-learning Optimisations- part 1 | by Charlie Masters | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/the-mathematics-of-deep-learning-optimisations-part-1-2fb853e3b1b6	NULL	NULL		NULL		2019
19395	The Mathematics of Deep Learning Optimizations- part 2 | by Charlie Masters | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/the-mathematics-of-deep-learning-optimizations-part-2-7ad59924aea	NULL	NULL		NULL		2019
19396	MachineX: Generative Adversary Networks (GAN) | by Shubham Goyal | Towards Data Science	https://towardsdatascience.com/machinex-generative-adversary-networks-gan-5a9c198b7e87	NULL	NULL		NULL		2019
19397	Search (Pt 1) — A Gentle Introduction | by Mihail Dungarov | Towards Data Science	https://towardsdatascience.com/search-pt-1-a-gentle-introduction-335656c0f814	NULL	NULL		NULL		2019
19398	Search (Pt 2) — A Semantic Horse Race | by Mihail Dungarov | Towards Data Science	https://medium.com/@mihail.dungarov/search-pt-2-semantic-horse-race-5128cae7ce8d	NULL	NULL		NULL		2019
19399	Search (Pt 3) — Elastic Transformers | by Mihail Dungarov | Towards Data Science	https://medium.com/@mihail.dungarov/elastic-transformers-ae011e8f5b88	NULL	NULL		NULL		2019
19400	How a bit classifies the world. Today the term artificial intelligence... | by PilarPinto | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/how-a-bit-classifies-the-world-5f0f0a7f141f	NULL	NULL		NULL		2019
19403	May 2020 news & ‘On GPT-3’ · Gwern.net	https://www.gwern.net/newsletter/2020/05#gpt-3	NULL	NULL		NULL		2019
19404	Tempering Expectations for GPT-3 and OpenAI’s API | Max Woolf's Blog	https://minimaxir.com/2020/07/gpt3-expectations/	NULL	NULL		NULL		2019
19405	403 Forbidden	https://lionbridge.ai/articles/transformers-in-nlp-creating-a-translator-model-from-scratch/	NULL	NULL		NULL		2019
19406	Knowledge Graphs in NLP @ EMNLP 2020 | by Michael Galkin | Medium	https://mgalkin.medium.com/knowledge-graphs-in-nlp-emnlp-2020-2f98ec527738	NULL	NULL		NULL		2019
19407	GPT-3 Primer. Understanding OpenAI’s cutting-edge... | by Scott Huston | Towards Data Science	https://towardsdatascience.com/gpt-3-primer-67bc2d821a00	NULL	NULL		NULL		2019
19408	403 Forbidden	https://lionbridge.ai/articles/transformers-in-nlp-creating-a-translator-model-from-scratch	NULL	NULL		NULL		2019
19409	GPT-3 Creative Fiction · Gwern.net	https://www.gwern.net/GPT-3	NULL	NULL		NULL		2019
19410	Here are a few ways GPT-3 can go wrong – TechCrunch	https://techcrunch.com/2020/08/07/here-are-a-few-ways-gpt-3-can-go-wrong/	NULL	NULL		NULL		2019
19412	How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer	https://theaisummer.com/attention/	NULL	NULL		NULL		2019
19414	Recurrent Neural Networks: building GRU cells VS LSTM cells in Pytorch | AI Summer	https://theaisummer.com//gru/	NULL	NULL		NULL		2019
19415	How to Use Transformers in TensorFlow | Towards Data Science	https://towardsdatascience.com/tensorflow-and-transformers-df6fceaf57cc	NULL	NULL		NULL		2019
19416	Newbie’s Guide to Study Reinforcement Learning | by Arkar Min Aung | Towards Data Science	https://towardsdatascience.com/newbies-guide-to-study-reinforcement-learning-8b9002eff643	NULL	NULL		NULL		2019
19417	A Complete Neural Network Algorithm from Scratch in Python | by Rashida Nasrin Sucky | Towards Data Science	https://towardsdatascience.com/a-complete-neural-network-algorithm-from-scratch-in-python-fdf985f258dd	NULL	NULL		NULL		2019
19418	Service Unavailable a??? Medium	https://medium.com/@imamun/creating-a-tf-idf-in-python-e43f05e4d424	NULL	NULL		NULL		2019
19419	Tutorial: Extracting Keywords with TF-IDF and Python's Scikit-Learn	https://kavita-ganesan.com/extracting-keywords-from-text-tfidf/#.X7wSE2U3mUk	NULL	NULL		NULL		2019
19420	How to Create a Simple Neural Network in Python | by Chris Verdence | Better Programming	https://medium.com/better-programming/how-to-create-a-simple-neural-network-in-python-dbf17f729fe6	NULL	NULL		NULL		2019
19421	Improving Knowledge Graph Embeddings with Graph Neural Networks | by Giuseppe Futia | Towards Data Science	https://towardsdatascience.com/improving-knowledge-graph-embeddings-with-graph-neural-networks-8ffb14804199	NULL	NULL		NULL		2019
19422	Keyword Extraction | Keyword Extraction in Python	https://www.analyticsvidhya.com/blog/2020/11/words-that-matter-a-simple-guide-to-keyword-extraction-in-python/	NULL	NULL		NULL		2020
19423	Getting Started With Reinforcement Learning(MuJoCo and OpenAI Gym) | by Kaustubh Dixit | The Startup | Medium	https://medium.com/swlh/getting-started-with-reinforcement-learning-mujoco-and-openai-gym-67243b78b599	NULL	NULL		NULL		2019
19424	Exxact | Deep Learning, HPC, AV, Distribution & More	https://blog.exxactcorp.com/a-friendly-introduction-to-graph-neural-networks/	NULL	NULL		NULL		2019
19425	Introduction to the Poisson Distribution	https://hadrienj.github.io/posts/Essential-Math-poisson_distribution/	NULL	NULL		NULL		2020
19426		https://hadrienj.github.io/posts/Essential-Math-Integrals/	NULL	NULL		NULL		2020
19427		https://hadrienj.github.io/posts/Essential-Math-probability-distributions/	NULL	NULL		NULL		2020
19441	Adversarial Examples in Deep Learning - A Primer	https://blog.djsarkar.ai/adversarial-learning-attacks-1/	NULL	NULL		NULL		2019
19442	Introduction to Knowledge Graph Embeddings | by Balaji Kamakoti | Towards Data Science	https://towardsdatascience.com/introduction-to-knowledge-graph-embedding-with-dgl-ke-77ace6fb60ef	NULL	NULL		NULL		2019
19443	Deep Learning on graphs: convolution is all you need | by Zichen Wang | Towards Data Science	https://towardsdatascience.com/deep-learning-on-graphs-convolution-is-all-you-need-3c1cf8f1e715	NULL	NULL		NULL		2019
19444	Interpretability in Machine Learning: An Overview	https://thegradient.pub/interpretability-in-ml-a-broad-overview/	NULL	NULL		NULL		2020
19445	Optimization. The three pillars of Data Science are: | by Heena Rijhwani | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/optimization-acb996a4623c	NULL	NULL		NULL		2019
19446	Intuitive Understanding of Attention Mechanism in Deep Learning | by Harshall Lamba | Towards Data Science	https://towardsdatascience.com/intuitive-understanding-of-attention-mechanism-in-deep-learning-6c9482aecf4f	NULL	NULL		NULL		2019
19447	Optimization Algorithms Around the World | by Imdadul Haque Milon | Gadictos | Medium	https://medium.com/gadictos/optimization-algorithms-173b4ae10ab8	NULL	NULL		NULL		2019
19448	A Complete Recommender System From Scratch in Python: Step by Step | by Rashida Nasrin Sucky | Towards Data Science	https://towardsdatascience.com/a-complete-recommender-system-from-scratch-in-python-step-by-step-6fc17a4da054	NULL	NULL		NULL		2019
19449	What are Transformers?. John Inacay, Michael Wang, and Wiley... | by Deep Gan Team | Medium	https://medium.com/@deepganteam/what-are-transformers-b687f2bcdf49	NULL	NULL		NULL		2019
19450	A Simple Overview of Multilayer Perceptron (MLP) Deep Learning	https://www.analyticsvidhya.com/blog/2020/12/mlp-multilayer-perceptron-simple-overview/	NULL	NULL		NULL		2020
19451	A Comprehensive Guide To Genetic Algorithms — The ELI5 Way | Towards AI	https://medium.com/towards-artificial-intelligence/a-comprehensive-guide-to-genetic-algorithms-the-eli5-way-fcc8940ae9a4	NULL	NULL		NULL		2019
19452	The four main subelements of a reinforcement learning system | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-1-introduction-c0d55c1240a3	NULL	NULL		NULL		2019
19453	Multi-arm Bandits. This is part 2 of the RL tutorial... | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-2-multi-arm-bandits-be5efb2e83ea	NULL	NULL		NULL		2019
19454	Finite Markov Decision Processes. This is part 3 of the RL tutorial... | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-3-finite-markov-decision-processes-51e1f8d3ddb7	NULL	NULL		NULL		2019
19455	Dynamic Programming. This is part 4 of the RL tutorial... | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-4-dynamic-programming-6af57e575b3d	NULL	NULL		NULL		2019
19456	Monte Carlo Methods. This is part 5 of the RL tutorial... | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-5-monte-carlo-methods-25067003bb0f	NULL	NULL		NULL		2019
19457	Temporal-Difference (TD) Learning | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-6-temporal-difference-td-learning-2a12f0aba9f9	NULL	NULL		NULL		2019
19458	N-step Bootstrapping. This is part 7 of the RL tutorial... | by Sagi Shaier | Towards Data Science	https://towardsdatascience.com/introduction-to-reinforcement-learning-rl-part-7-n-step-bootstrapping-6c3006a13265	NULL	NULL		NULL		2019
19459		https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-Scalars-Vectors-and-the-Dot-Product/	NULL	NULL		NULL		2020
19460	Essential Math for Data Science: Information Theory	https://hadrienj.github.io/posts/Essential-Math-information_theory/	NULL	NULL		NULL		2020
19461	Building Neural Networks with Neural Networks: A Gentle Introduction to Neural Architecture Search | by Jesus Rodriguez | DataSeries | Medium	https://medium.com/dataseries/building-neural-networks-with-neural-networks-a-gentle-introduction-to-neural-architecture-search-b5a8a562040d	NULL	NULL		NULL		2019
19462	How do Transformers Work? An Introduction | Towards Data Science	https://towardsdatascience.com/how-transformers-work-6cb4629506df	NULL	NULL		NULL		2019
19463	Medium	https://medium.com/@tanveer2407/b06ba3470ca2	NULL	NULL		NULL		2019
19464	Principal Component Analysis(PCA) | Guide to PCA	https://www.analyticsvidhya.com/blog/2020/12/an-end-to-end-comprehensive-guide-for-pca/	NULL	NULL		NULL		2020
19465	Python code examples of PCA v.s. SVD | by Yang Zhang | Medium	https://zhang-yang.medium.com/python-code-examples-of-pca-v-s-svd-4e9861db0a71	NULL	NULL		NULL		2019
19466	PCA: Practical Guide to Principal Component Analysis in R & Python	https://www.analyticsvidhya.com/blog/2016/03/pca-practical-guide-principal-component-analysis-python/	NULL	NULL		NULL		2016
19467	Illustration of principal component analysis (PCA) | joy of data 	https://www.joyofdata.de/blog/illustration-of-principal-component-analysis-pca/	NULL	NULL		NULL		2013
19468	Reinforcement Learning Made Simple (Part 1): Intro to Basic Concepts and Terminology | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-made-simple-part-1-intro-to-basic-concepts-and-terminology-1d2a87aa060	NULL	NULL		NULL		2019
19469	Reinforcement Learning Made Simple (Part 2): Solution Approaches | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-made-simple-part-2-solution-approaches-7e37cbf2334e	NULL	NULL		NULL		2019
19470	Reinforcement Learning Explained Visually (Part 3): Model-free solutions, step-by-step | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-explained-visually-part-3-model-free-solutions-step-by-step-c4bbb2b72dcf	NULL	NULL		NULL		2019
19471	Reinforcement Learning Explained Visually (Part 4): Q Learning, step-by-step | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-explained-visually-part-4-q-learning-step-by-step-b65efb731d3e	NULL	NULL		NULL		2019
19472	Transformers Explained Visually (Part 1): Overview of Functionality | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/transformers-explained-visually-part-1-overview-of-functionality-95a6dd460452	NULL	NULL		NULL		2019
19473	Markov Decision Process in Reinforcement Learning: Everything You Need to Know - neptune.ai	https://neptune.ai/blog/markov-decision-process-in-reinforcement-learning	NULL	NULL		NULL		2019
19474	Reinforcement Learning Tutorial With Mario | SAP Conversational AI Blog	https://cai.tools.sap/blog/the-future-with-reinforcement-learning-part-1/	NULL	NULL		NULL		2018
19475	Awesome Reinforcement Learning Applications | SAP Conversational AI Blog	https://cai.tools.sap/blog/the-future-with-reinforcement-learning-part-2-comparisons-and-applications/	NULL	NULL		NULL		2018
19476	Reinforcement Learning Breakthroughs | SAP Conversational AI Blog	https://cai.tools.sap/blog/reinforcement-learning-part-3-practical-reinforcement-learning/	NULL	NULL		NULL		2018
19477	An introduction to Reinforcement Learning | by Thomas Simonini | freeCodeCamp.org | Medium	https://medium.com/free-code-camp/an-introduction-to-reinforcement-learning-4339519de419	NULL	NULL		NULL		2019
19479	How to Clean Text Data at the Command Line by EzzEddin Abdullah	https://www.ezzeddinabdullah.com/posts/how-to-clean-text-data-at-the-command-line	NULL	NULL		NULL		2019
19480	Learn Natural Language Processing the practical way | by Vered Zimmerman | Towards Data Science	https://towardsdatascience.com/learn-nlp-the-practical-way-b854ce1035c4	NULL	NULL		NULL		2019
19481	Gradient Descent Unraveled. Understanding how gradient descent... | by Manpreet Singh Minhas | Towards Data Science	https://towardsdatascience.com/gradient-descent-unraveled-3274c895d12d	NULL	NULL		NULL		2019
19482	Back-propagation Demystified [Part 1] | by Manpreet Singh Minhas | Towards Data Science	https://towardsdatascience.com/back-propagation-demystified-part-1-d7dad2ad447b	NULL	NULL		NULL		2019
19483	Deep Learning: GoogLeNet Explained | by Richmond Alake | Towards Data Science	https://towardsdatascience.com/deep-learning-googlenet-explained-de8861c82765	NULL	NULL		NULL		2019
19484	How to Build a Classifier with BERT in TensorFlow | Better Programming	https://medium.com/better-programming/build-a-natural-language-classifier-with-bert-and-tensorflow-4770d4442d41	NULL	NULL		NULL		2019
19485		https://towardsdatascience.com/conducting-bayesian-inference-in-python-using-pymc3-d407f8d934a5	NULL	NULL		NULL		2019
19486	GPT-3: What’s it good for?. GPT-3 made the mainstream media... | by Robert Dale | Towards Data Science	https://towardsdatascience.com/gpt-3-whats-it-good-for-156a445cefc8	NULL	NULL		NULL		2019
19487	Intuition Behind Transformers Architecture in NLP. | by Oleg Borisov | Towards Data Science	https://towardsdatascience.com/intuition-behind-transformers-architecture-nlp-c2ac36174047	NULL	NULL		NULL		2019
19490	One LEGO at a Time: Explaining the Math of how Neural Networks Learn with Implementation from Scratch – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/machine-learning/one-lego-at-a-time-explaining-the-math-of-how-neural-networks-learn-with-implementation-from-scratch-39144a1cf80	NULL	NULL		NULL		2019
19491	Gradient Descent for Machine Learning (ML) 101 with Python Tutorial | Towards AI	https://towardsai.net/p/data-science/gradient-descent-algorithm-for-machine-learning-python-tutorial-ml-9ded189ec556	NULL	NULL		NULL		2019
19493	Understand TensorFlow Basic with Python | by Amit Chauhan | Towards AI	https://medium.com/towards-artificial-intelligence/understand-tensorflow-basic-with-python-87281e737db9	NULL	NULL		NULL		2019
19494	NumPy: Zero to Hero with Python. A handbook of  NumPy basic operations... | by Amit Chauhan | Towards AI	https://medium.com/towards-artificial-intelligence/numpy-zero-to-hero-with-python-d135f57d6082	NULL	NULL		NULL		2019
19495	410 Deleted by author — Medium	https://medium.com/towards-artificial-intelligence/how-do-language-models-predict-the-next-word-66e0a705583e	NULL	NULL		NULL		2019
19496	410 Deleted by author — Medium	https://medium.com/towards-artificial-intelligence/linear-algebra-for-ml-61c9d1fed99d	NULL	NULL		NULL		2019
19497	Graphing The SIR Model With Python | by Joaquin de Castro | Towards AI	https://medium.com/towards-artificial-intelligence/graphing-the-sir-model-with-python-e3cd6edb20de	NULL	NULL		NULL		2019
19498	410 Deleted by author — Medium	https://medium.com/towards-artificial-intelligence/natural-language-processing-in-tensorflow-a823c3ef95ee	NULL	NULL		NULL		2019
19500		https://probml.github.io/pml-book/book1.html	NULL	NULL		NULL		2019
19501	CS231n Convolutional Neural Networks for Visual Recognition	https://cs231n.github.io/optimization-2/	NULL	NULL		NULL		2019
19502	Logistic Regression With A Real-World Example in Python | MarkTechPost	https://www.marktechpost.com/2019/06/12/logistic-regression-with-a-real-world-example-in-python/	NULL	NULL		NULL		2019
19503	Create a Neural Network With PyTorch | MarkTechPost	https://www.marktechpost.com/2019/11/09/create-a-neural-network-with-pytorch/	NULL	NULL		NULL		2019
19504	  Attention mechanism in Deep Learning, Explained - KDnuggets	https://www.kdnuggets.com/2021/01/attention-mechanism-deep-learning-explained.html	NULL	NULL		NULL		2019
19505	Beginners Guide to Naive Bayes Algorithm in Python	https://www.analyticsvidhya.com/blog/2021/01/a-guide-to-the-naive-bayes-algorithm/	NULL	NULL		NULL		2021
19506	Literature Survey: Natural Language Interfaces for Data Bases (NLIDB) | by Joel V Zachariah | MyTake | Medium	https://medium.com/mytake/literature-survey-natural-language-interfaces-for-data-bases-nlidb-6a86504f72c3	NULL	NULL		NULL		2019
19507	1.Introduction, Structure of Graphs 	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/1-Introduction-Structure-of-Graphs---VmlldzozNzU1NDU	NULL	NULL		NULL		2019
19508	2.Properties of Networks and Random Graph Models	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/2-Properties-of-Networks-and-Random-Graph-Models--VmlldzozNzU1NTY	NULL	NULL		NULL		2019
19509	3.Motifs and Structural Roles in Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/3-Motifs-and-Structural-Roles-in-Networks--VmlldzozNzU1NTg	NULL	NULL		NULL		2019
19510	4.Community Structure in Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/4-Community-Structure-in-Networks--VmlldzozNzU1NjE	NULL	NULL		NULL		2019
19511	5.Spectral Clustering	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/5-Spectral-Clustering--VmlldzozNzcwMDU	NULL	NULL		NULL		2019
19512	6.Message Passing and Node Classification	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/6-Message-Passing-and-Node-Classification--VmlldzozNzcwMDc	NULL	NULL		NULL		2019
19513	7.Graph Representation Learning	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/7-Graph-Representation-Learning--VmlldzozNzcwMDk	NULL	NULL		NULL		2019
19514	8.Graph Neural Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/8-Graph-Neural-Networks--VmlldzozNzcwMTA	NULL	NULL		NULL		2019
19515	9.Graph Neural Networks with Pytorch Geometric	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/9-Graph-Neural-Networks-with-Pytorch-Geometric--VmlldzozNzcwMTE	NULL	NULL		NULL		2019
19516	10.Deep Generative Models for Graphs	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/10-Deep-Generative-Models-for-Graphs--VmlldzozNzcwMTI	NULL	NULL		NULL		2019
19517	11.Link Analysis - Page Rank	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/11-Link-Analysis-Page-Rank--VmlldzozODE2NjE	NULL	NULL		NULL		2019
19518	12. Network Effects and Cascading Behaviour	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/12-Network-Effects-and-Cascading-Behaviour--VmlldzozODE4NjU	NULL	NULL		NULL		2019
19519	13. Probabilistic Contagion and Models of Influence.	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/13-Probabilistic-Contagion-and-Models-of-Influence---VmlldzozODUxMjg	NULL	NULL		NULL		2019
19520	14.Influence Maximization in Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/14-Influence-Maximization-in-Networks--VmlldzozODUxMzA	NULL	NULL		NULL		2019
19521	15.Outbreak Detection in Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/15-Outbreak-Detection-in-Networks--VmlldzozODUxMzE	NULL	NULL		NULL		2019
19522	16.Network Evolution	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/16-Network-Evolution--VmlldzozODUxMzI	NULL	NULL		NULL		2019
19523	17.Reasoning over Knowledge Graphs	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/17-Reasoning-over-Knowledge-Graphs--VmlldzozODUxMzM	NULL	NULL		NULL		2019
19524	18.Limitations of Graph Neural Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/18-Limitations-of-Graph-Neural-Networks--VmlldzozODUxMzQ	NULL	NULL		NULL		2019
19525	19.Applications of Graph Neural Networks	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/19-Applications-of-Graph-Neural-Networks--VmlldzozODUxMzU	NULL	NULL		NULL		2019
19526	Machine Learning With Graphs.	https://wandb.ai/syllogismos/machine-learning-with-graphs/reports/Machine-Learning-With-Graphs---VmlldzozODE5Mzk	NULL	NULL		NULL		2019
19527	Markov models and Markov chains explained in real life: probabilistic workout routine | by Carolina Bento | Towards Data Science	https://towardsdatascience.com/markov-models-and-markov-chains-explained-in-real-life-probabilistic-workout-routine-65e47b5c9a73	NULL	NULL		NULL		2019
19528	Monte Carlo Methods and Simulations explained in real-life: modeling insomnia | by Carolina Bento | Towards Data Science	https://towardsdatascience.com/monte-carlo-methods-and-simulations-explained-in-real-life-modeling-insomnia-f49685b321d0	NULL	NULL		NULL		2019
19529	Support Vector Machines explained with Python examples | by Carolina Bento | Towards Data Science	https://towardsdatascience.com/support-vector-machines-explained-with-python-examples-cb65e8172c85	NULL	NULL		NULL		2019
19530	Principal Component Analysis algorithm in Real-Life: Discovering patterns in a real-estate dataset | by Carolina Bento | Towards Data Science	https://towardsdatascience.com/principal-component-analysis-algorithm-in-real-life-discovering-patterns-in-a-real-estate-dataset-18134c57ffe7	NULL	NULL		NULL		2019
19532	Fully Explained Logistic Regression with Python | by Amit Chauhan | Towards AI	https://medium.com/towards-artificial-intelligence/fully-explained-logistic-regression-with-python-f4a16413ddcd	NULL	NULL		NULL		2019
19533	NLP — Zero to Hero with Python. A handbook for learning NLP with basics... | by Amit Chauhan | Towards AI	https://medium.com/towards-artificial-intelligence/nlp-zero-to-hero-with-python-2df6fcebff6e?sk=2231d868766e96b13d1e9d7db6064df1	NULL	NULL		NULL		2019
19535	Generate Summaries using Google’s Pegasus library | by Chetan Ambi | Medium	https://chetanambi.medium.com/generate-summaries-using-googles-pegasus-library-772633a161c2	NULL	NULL		NULL		2019
19536	How to use BERT from the Hugging Face transformer library | by Saketh Kotamraju | Towards Data Science	https://towardsdatascience.com/how-to-use-bert-from-the-hugging-face-transformer-library-d373a22b0209	NULL	NULL		NULL		2019
19537	From high-school physics to GANs: essentials for mastering generative machine learning [1/2] | by Alexandr Honchar | Towards Data Science	https://towardsdatascience.com/from-high-school-physics-to-gans-essentials-for-mastering-generative-machine-learning-1-2-da4bd5bb5568	NULL	NULL		NULL		2019
19538	From high-school physics to GANs: essentials for mastering generative machine learning [2/2] | by Alexandr Honchar | Towards Data Science	https://towardsdatascience.com/from-high-school-physics-to-gans-essentials-for-mastering-generative-machine-learning-2-2-82e39ca2a3b	NULL	NULL		NULL		2019
19539	Intuition Behind GAN’s Generator. Building your GAN series–part 3 of 4 | by Jingles (Hong Jing) | Towards Data Science	https://towardsdatascience.com/intuition-behind-gans-generator-e66f6b0dfa7c	NULL	NULL		NULL		2019
19540	Intuition Behind Generative Adversarial Networks | by Jingles (Hong Jing) | Towards Data Science	https://towardsdatascience.com/intuition-behind-generative-adversarial-networks-52628d3119f5?sk=3cd90c14b830754e5695533db851b5e1	NULL	NULL		NULL		2019
19541	Intuition Behind GAN’s Discriminator | by Jingles (Hong Jing) | Towards Data Science	https://towardsdatascience.com/intuition-behind-gans-discriminator-122ed821e9e5?sk=040bf4125e6d1c5a790c50db0fe2d4f7	NULL	NULL		NULL		2019
19542	Coding Logistic Regression from Scratch | by Kumud Lakara | Towards Data Science	https://towardsdatascience.com/coding-logistic-regression-from-scratch-d18b4fbfca8a	NULL	NULL		NULL		2019
19543	Clearing up Logistic Regression | Towards Data Science	https://towardsdatascience.com/simple-logistic-regression-a9735ed23abd	NULL	NULL		NULL		2019
19544	TensorFlow 2.4 with GPU in 4 Steps | Towards Data Science	https://towardsdatascience.com/install-tensorflow-with-cuda-cudnn-and-gpu-support-in-4-easy-steps-954f176daac3	NULL	NULL		NULL		2019
19545	Polynomial Regression — Gradient Descent from Scratch | by Mark Garvey | Towards Data Science	https://towardsdatascience.com/polynomial-regression-gradient-descent-from-scratch-279db2936fe9	NULL	NULL		NULL		2019
19546	The new normal that changes the way we do AI. Here is how, with illustrated examples | by Vladimir Ilievski | Towards Data Science	https://towardsdatascience.com/the-new-normal-that-changes-the-way-we-do-ai-here-is-how-with-illustrated-examples-acbf7dd37560	NULL	NULL		NULL		2019
19547	Regularization and Gradient Descent Cheat Sheet | by Subrata Mukherjee | The Startup | Medium	https://subrata-mettle.medium.com/regularization-and-gradient-descent-cheat-sheet-d1be74a4ee53	NULL	NULL		NULL		2019
19548	Genetic Algorithm (GA) Introduction with Example Code  | Towards AI	https://medium.com/towards-artificial-intelligence/genetic-algorithm-ga-introduction-with-example-code-e59f9bc58eaf	NULL	NULL		NULL		2019
19549	Essential Math for Data Science: Information Theory - KDnuggets	https://www.kdnuggets.com/2021/01/essential-math-data-science-information-theory.html	NULL	NULL		NULL		2019
19560	Value-based Methods in Deep Reinforcement Learning | by Barak Or | Jan, 2021 | Towards Data Science	https://barakor.medium.com/value-based-methods-in-deep-reinforcement-learning-d40ca1086e1	NULL	NULL		NULL		2019
19561	Problem Set 0 | COS 485 Neural Networks: Theory and Applications	https://cos485.github.io/2020/02/03/pset0.html	NULL	NULL		NULL		2020
19562	Visualizing feature vectors/embeddings using t-SNE and PCA | by Manpreet Singh Minhas | Jan, 2021 | Towards Data Science	https://towardsdatascience.com/visualizing-feature-vectors-embeddings-using-pca-and-t-sne-ef157cea3a42	NULL	NULL		NULL		2019
19563	Uninformed Search Algorithms in AI | Search Algorithms in AI	https://www.analyticsvidhya.com/blog/2021/02/uninformed-search-algorithms-in-ai	NULL	NULL		NULL		2021
19564	Pearson’s chi-squared test from scratch with Python | by Tobias Roeschl | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/pearsons-chi-squared-test-from-scratch-with-python-ba9e14d336c	NULL	NULL		NULL		2019
19565	Animations of Gradient Descent and Loss Landscapes of Neural Networks in Python | by Tobias Roeschl | Towards Data Science	https://towardsdatascience.com/animations-of-gradient-descent-and-loss-landscapes-of-neural-networks-in-python-e757f3584057	NULL	NULL		NULL		2019
19566	Animations of Logistic Regression with Python | by Tobias Roeschl | Towards Data Science	https://towardsdatascience.com/animations-of-logistic-regression-with-python-31f8c9cb420	NULL	NULL		NULL		2019
19567	Animations of Multiple Linear Regression with Python | by Tobias Roeschl | Towards Data Science	https://towardsdatascience.com/animations-of-multiple-linear-regression-with-python-73010a4d7b11	NULL	NULL		NULL		2019
19568	Gradient Descent animation: 1. Simple linear Regression | by Tobias Roeschl | Towards Data Science	https://towardsdatascience.com/gradient-descent-animation-1-simple-linear-regression-e49315b24672	NULL	NULL		NULL		2019
19569	Vector Representation of Words by Siddhant7	https://siddhant7.github.io/Vector-Representation-of-Words/	NULL	NULL		NULL		2019
19570	How to get started with Graph Machine Learning | by Aleksa Gordic? | Feb, 2021 | Medium	https://gordicaleksa.medium.com/how-to-get-started-with-graph-machine-learning-afa53f6f963a	NULL	NULL		NULL		2019
19571		https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-Introduction_to_matrices_and_matrix_product/	NULL	NULL		NULL		2020
19572		https://towardsdatascience.com/how-to-do-visualization-using-python-from-scratch-651304b5ee7a	NULL	NULL		NULL		2019
19573		https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-systems_of_linear_equations/	NULL	NULL		NULL		2021
19574		https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-Change-of-Basis/	NULL	NULL		NULL		2021
19575		https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-linear_transformations/	NULL	NULL		NULL		2020
19576	Bellman Optimality Equation in Reinforcement Learning	https://www.analyticsvidhya.com/blog/2021/02/understanding-the-bellman-optimality-equation-in-reinforcement-learning/	NULL	NULL		NULL		2021
19577	Understanding DBSCAN and K-NN with Random Geometric Graphs - Graphs For Science	https://graphs4sci.substack.com/p/understanding-dbscan-and-k-nn-with	NULL	NULL		NULL		2019
19578	Speech to Text with Wav2Vec 2.0. Speech to Text | by Dhilip Subramanian | Feb, 2021 | Towards AI	https://medium.com/towards-artificial-intelligence/speech-to-text-with-wav2vec-2-0-b21c1e1ad701	NULL	NULL		NULL		2019
19579	Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch | AI Summer	https://theaisummer.com/einsum-attention	NULL	NULL		NULL		2019
19583	Manifold Learning Python | Introduction to Python Manifold Learning	https://www.analyticsvidhya.com/blog/2021/02/a-quick-introduction-to-manifold-learning/	NULL	NULL		NULL		2021
19584	Machine Learning Implementation to Predict Linear Algebra	https://www.analyticsvidhya.com/blog/2021/02/a-simple-machine-learning-implementation-to-predict-linear-algebra-in-python/	NULL	NULL		NULL		2021
19585	Optical Character Recognition Using Deep Learning Techniques | by Gilad David Maayan | Heartbeat	https://heartbeat.fritz.ai/optical-character-recognition-using-deep-learning-techniques-1376605b022a	NULL	NULL		NULL		2019
19589	Tutorial on Graph Neural Networks for Computer Vision and Beyond | by Boris Knyazev | Medium	https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-1-3d9fada3b80d	NULL	NULL		NULL		2019
19592	Introduction to Graph Neural Networks | by Nikita Sharma | Heartbeat	https://heartbeat.fritz.ai/introduction-to-graph-neural-networks-c5a9f4aa9e99	NULL	NULL		NULL		2019
19593	Not Acceptable!	https://www.singlelunch.com/2020/12/28/why-im-lukewarm-on-graph-neural-networks/	NULL	NULL		NULL		2019
19597	Exxact | Deep Learning, HPC, AV, Distribution & More	https://www.exxactcorp.com/blog/Deep-Learning/a-friendly-introduction-to-graph-neural-networks	NULL	NULL		NULL		2019
19600	Graphs Neural Networks in NLP. Capturing the beautiful semantic... | by Purvanshi Mehta | NeuralSpace | Medium	https://medium.com/neuralspace/graphs-neural-networks-in-nlp-dc475eb089de	NULL	NULL		NULL		2019
19601		https://towardsdatascience.com/master-positional-encoding-part-i-63c05d90a0c3	NULL	NULL		NULL		2019
19602		https://towardsdatascience.com/build-your-own-automatic-differentiation-program-6ecd585eec2a	NULL	NULL		NULL		2019
19603	Step by Step Guide: Abstractive Text Summarization Using RoBERTa | by Anubhav | Medium	https://anubhav20057.medium.com/step-by-step-guide-abstractive-text-summarization-using-roberta-e93978234a90	NULL	NULL		NULL		2019
19604	Powerful EDA (Exploratory Data Analysis) in just two lines of code using Sweetviz | by Francois Bertrand | Towards Data Science	https://towardsdatascience.com/powerful-eda-exploratory-data-analysis-in-just-two-lines-of-code-using-sweetviz-6c943d32f34	NULL	NULL		NULL		2019
19605	Accuracy, Precision, and Recall in Deep Learning | Paperspace Blog	https://blog.paperspace.com/deep-learning-metrics-precision-recall-accuracy/	NULL	NULL		NULL		2020
19606	Mean Average Precision (mAP) Explained | Paperspace Blog	https://blog.paperspace.com/mean-average-precision/	NULL	NULL		NULL		2020
19607	How To Implement Text Recommendation on Android | Paperspace Blog	https://blog.paperspace.com/implement-text-recommendation-android-levenshtein-distance/	NULL	NULL		NULL		2020
19608	5 Genetic Algorithm Applications Using PyGAD | Paperspace Blog	https://blog.paperspace.com/genetic-algorithm-applications-using-pygad/	NULL	NULL		NULL		2020
19609	9 Distance Measures in Data Science | Towards Data Science	https://towardsdatascience.com/9-distance-measures-in-data-science-918109d069fa	NULL	NULL		NULL		2019
19610	Basics of Natural Language Processing | NLP For Beginners	https://www.analyticsvidhya.com/blog/2021/02/basics-of-natural-language-processing-nlp-basics/	NULL	NULL		NULL		2021
19611	Some examples of applying BERT in specific domain | by Edward Ma | Towards Data Science	https://towardsdatascience.com/how-to-apply-bert-in-scientific-domain-2d9db0480bd9	NULL	NULL		NULL		2019
19613	Automated Feature Engineering Using Neural Networks | by Michael Malin | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/automated-feature-engineering-using-neural-networks-5310d6d4280a	NULL	NULL		NULL		2019
19614	Overview of the Reinforcement Learning Universe | Paperspace Blog	https://blog.paperspace.com/overview-of-reinforcement-learning-universe/	NULL	NULL		NULL		2021
19615	Regular Expressions | Regular Expressions in NLP	https://www.analyticsvidhya.com/blog/2021/03/beginners-guide-to-regular-expressions-in-natural-language-processing/	NULL	NULL		NULL		2021
19616		https://towardsdatascience.com/all-you-want-to-know-about-deep-learning-8d68dcffc258	NULL	NULL		NULL		2019
19617	Fau Lecture Notes – Towards Data Science	https://towardsdatascience.com/tagged/fau-lecture-notes	NULL	NULL		NULL		2019
19625		https://towardsdatascience.com/lecture-notes-in-deep-learning-feedforward-networks-part-3-d2a0441b8bca	NULL	NULL		NULL		2019
19626	Feedforward Networks — Part 4. Layer Abstraction | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-feedforward-networks-part-4-65593eb14aed	NULL	NULL		NULL		2019
19627	Loss and Optimization — Part 1. Classification and Regression Losses | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-loss-and-optimization-part-1-f702695cbd99	NULL	NULL		NULL		2019
19628	Do Support Vector Machines beat Deep Learning? | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-loss-and-optimization-part-2-11b08f842aa7	NULL	NULL		NULL		2019
19629	Optimization with ADAM and beyond... | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-loss-and-optimization-part-3-dc6280284fc1	NULL	NULL		NULL		2019
19630	From biological neurons to classical activations | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-activations-convolutions-and-pooling-part-1-ddcad4eb04f6	NULL	NULL		NULL		2019
19631	Activations, Convolutions, and Pooling — Part 2 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-activations-convolutions-and-pooling-part-2-94637173a786	NULL	NULL		NULL		2019
19632	Activations, Convolutions, and Pooling — Part 3 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/lecture-notes-in-deep-learning-activations-convolutions-and-pooling-part-3-d7faeac9e79d	NULL	NULL		NULL		2019
19633	Activations, Convolutions, and Pooling — Part 4 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/activations-convolutions-and-pooling-part-4-5dd7f85aa9f7	NULL	NULL		NULL		2019
19634	Deep Learning and Bias-Variance Trade-off | Towards Data Science	https://towardsdatascience.com/regularization-part-1-db408819b20f	NULL	NULL		NULL		2019
19635	Regularization in Deep Learning - Part 2 | Towards Data Science	https://towardsdatascience.com/regularization-part-2-5b729698d026	NULL	NULL		NULL		2019
19636	Regularization: Batch Normalization & Dropout | Towards Data Science	https://towardsdatascience.com/regularization-part-4-2ee8e7aa60ec	NULL	NULL		NULL		2019
19637		https://towardsdatascience.com/regularization-part-4-3518ec44ed85	NULL	NULL		NULL		2019
19638	Multi-task Learning | Towards Data Science	https://towardsdatascience.com/regularization-part-5-b4019720b020	NULL	NULL		NULL		2019
19639	Common Practices in Deep Learning - Part 1 | Towards Data Science	https://towardsdatascience.com/common-practices-part-1-6a7c1b2eb6d4	NULL	NULL		NULL		2019
19640	Hyperparameters and Ensembling | Towards Data Science	https://towardsdatascience.com/common-practices-part-2-23dad51e2aae	NULL	NULL		NULL		2019
19641	Common Practices — Part 3. Class Imbalance | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/common-practices-part-3-f4853b0ac977	NULL	NULL		NULL		2019
19642	Common Practices — Part 4. Performance Evaluation | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/common-practices-part-4-70c08fce3588	NULL	NULL		NULL		2019
19643	Architectures — Part 1. From LeNet to GoogLeNet | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/architectures-part-1-62c686f500c3	NULL	NULL		NULL		2019
19644	Architectures — Part 2. Deeper Architectures | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/architectures-part-2-2d2ac8f7458e	NULL	NULL		NULL		2019
19645	Architectures — Part 3. Residual Networks | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/architectures-part-3-34dcfd979344	NULL	NULL		NULL		2019
19646	Architectures — Part 4. The Rise of the Residual Connections | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/architectures-part-4-a56f1b70f12f	NULL	NULL		NULL		2019
19647		https://towardsdatascience.com/architectures-part-5-7224dd8fcf39	NULL	NULL		NULL		2019
19648	Recurrent Neural Networks — Part 1 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-part-1-498230290534	NULL	NULL		NULL		2019
19649	Recurrent Neural Networks — Part 2 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-part-2-5f45c1c612c4	NULL	NULL		NULL		2019
19650	A tribute to LSTMs - Intro to long-short term memory units | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-part-3-1032d4a67757	NULL	NULL		NULL		2019
19651	Can GRUs outperform LSTMs? Deep Learning Lecture - RNNs Part 4 | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-part-4-39a568034d3b	NULL	NULL		NULL		2019
19652	Sequence generation using RNNs - An Overview | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-part-5-885fc3357792	NULL	NULL		NULL		2019
19653	Visualization & Attention — Part 1 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/visualization-attention-part-1-a16667295007	NULL	NULL		NULL		2019
19654	Visualization & Attention: Confounding Factors | Towards Data Science	https://towardsdatascience.com/visualization-attention-part-2-4b1dd17b9269	NULL	NULL		NULL		2019
19655	Direct Visualization Methods in Deep Learning | Towards Data Science	https://towardsdatascience.com/visualization-attention-part-3-84a43958e48b	NULL	NULL		NULL		2019
19656	Gradient- and Optimisation-based Deep Visualization | Towards Data Science	https://towardsdatascience.com/visualization-attention-part-4-a1cfefce8bd3	NULL	NULL		NULL		2019
19657	An Introduction to Attention Mechanisms in Deep Learning | Towards Data Science	https://towardsdatascience.com/visualization-attention-part-5-2c3c14e60548	NULL	NULL		NULL		2019
19658	Reinforcement Learning — Part 1. Sequential Decision Making | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-part-1-a5518a7a0bed	NULL	NULL		NULL		2019
19659	Reinforcement Learning — Part 2. Markov Decision Processes | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-part-2-d38cffee992d	NULL	NULL		NULL		2019
19660	Reinforcement Learning — Part 3. Policy Iteration | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-part-3-711e31967398	NULL	NULL		NULL		2019
19661	Reinforcement Learning — Part 4. Alternative Approaches | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-part-4-3c51edd8c4bf	NULL	NULL		NULL		2019
19662	Reinforcement Learning — Part 5. Deep Q-Learning | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-part-5-70d10e0ca3d9	NULL	NULL		NULL		2019
19663	Unsupervised Learning — Part 1. Motivation & Restricted Boltzmann... | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/unsupervised-learning-part-1-c007f0c35669	NULL	NULL		NULL		2019
19664	Unsupervised Learning — Part 2. Autoencoders | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/unsupervised-learning-part-2-b1c130b8815d	NULL	NULL		NULL		2019
19665	Unsupervised Learning — Part 3. Generative Adversarial Networks — The... | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/unsupervised-learning-part-3-7b15038bb884	NULL	NULL		NULL		2019
19666	Unsupervised Learning — Part 4. Conditional & Cycle GANs | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/unsupervised-learning-part-4-eeb4d3ab601	NULL	NULL		NULL		2019
19667	Unsupervised Learning — Part 5. Advanced GAN Methods | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/unsupervised-learning-part-5-f8809d7f1f90	NULL	NULL		NULL		2019
19668	Segmentation and Object Detection — Part 1 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/segmentation-and-object-detection-part-1-b8ef6f101547	NULL	NULL		NULL		2019
19669	Segmentation and Object Detection — Part 2 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/segmentation-and-object-detection-part-2-a334b91255f1	NULL	NULL		NULL		2019
19670	Segmentation and Object Detection — Part 3 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/segmentation-and-object-detection-part-3-abb4ec936fa	NULL	NULL		NULL		2019
19671	Segmentation and Object Detection — Part 4 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/segmentation-and-object-detection-part-4-f1d0d213976b	NULL	NULL		NULL		2019
19672	Segmentation and Object Detection — Part 5 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/segmentation-and-object-detection-part-5-4c6f70d25d31	NULL	NULL		NULL		2019
19673	Weakly and Self-supervised Learning — Part 1 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/weakly-and-self-supervised-learning-part-1-8d29fce2dd92	NULL	NULL		NULL		2019
19674	Weakly and Self-supervised Learning — Part 2 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/weakly-and-self-supervised-learning-part-1-ddfdf8377f1d	NULL	NULL		NULL		2019
19675	Weakly and Self-supervised Learning — Part 3 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/weakly-and-self-supervised-learning-part-3-b8186679d55e	NULL	NULL		NULL		2019
19676	Weakly and Self-supervised Learning — Part 4 | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/weakly-and-self-supervised-learning-part-4-2fbfd10280b3	NULL	NULL		NULL		2019
19677	Graph Deep Learning — Part 1. Spectral Convolutions | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/graph-deep-learning-part-1-e9652e5c4681	NULL	NULL		NULL		2019
19678	Graph Deep Learning — Part 2. From Spectral to Spatial Domain | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/graph-deep-learning-part-2-c6110d49e63c	NULL	NULL		NULL		2019
19679	Known Operator Learning — Part 1. Don’t re-invent the Wheel | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/known-operator-learning-part-1-32fc2ea49a9	NULL	NULL		NULL		2019
19680	Known Operator Learning — Part 2. Boundaries on Learning | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/known-operator-learning-part-2-8c725b5764ec	NULL	NULL		NULL		2019
19681	Known Operator Learning — Part 3. CT Reconstruction Revisited | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/known-operator-learning-part-3-984f136e88a6	NULL	NULL		NULL		2019
19682	Known Operator Learning — Part 4. Deep Design Patterns | by Andreas Maier | Towards Data Science	https://towardsdatascience.com/known-operator-learning-part-4-823e7a96cf5b	NULL	NULL		NULL		2019
19683	Machine Learning – Towards Data Science	https://towardsdatascience.com/tagged/machine-learning	NULL	NULL		NULL		2019
19684	Artificial Intelligence – Towards Data Science	https://towardsdatascience.com/tagged/artificial-intelligence	NULL	NULL		NULL		2019
19685	Deep Learning – Towards Data Science	https://towardsdatascience.com/tagged/deep-learning	NULL	NULL		NULL		2019
19686	Data Science – Towards Data Science	https://towardsdatascience.com/tagged/data-science	NULL	NULL		NULL		2019
19688	Import all Python libraries in one line of code | by Satyam Kumar | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/import-all-python-libraries-in-one-line-of-code-86e54f6f0108	NULL	NULL		NULL		2019
19689	11 Python Built-in Functions You Should Know | by Christopher Tao | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/11-python-built-in-functions-you-should-know-877a2c2139db	NULL	NULL		NULL		2019
19690	Pandas May Not Be the King of the Jungle After All | by Soner Y?ld?r?m | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/pandas-may-not-be-the-king-of-the-jungle-after-all-f09d061cf121	NULL	NULL		NULL		2019
19691	You Need to Stop Reading Sensationalist Articles About Becoming a Data Scientist | by Madison Hunter | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/you-need-to-stop-reading-sensationalist-articles-about-becoming-a-data-scientist-ee3cb392833f	NULL	NULL		NULL		2019
19692	Making Interactive Visualizations with Python Altair | by Soner Y?ld?r?m | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/making-interactive-visualizations-with-python-altair-7880ab5cf894	NULL	NULL		NULL		2019
19693	Top 3 Statistical Paradoxes in Data Science | by Francesco Casalegno | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/top-3-statistical-paradoxes-in-data-science-e2dc37535d99	NULL	NULL		NULL		2019
19694	Semi-Automated Exploratory Data Analysis (EDA) in Python | by Destin Gong | Mar, 2021 | Towards Data Science	https://towardsdatascience.com/semi-automated-exploratory-data-analysis-eda-in-python-7f96042c9809	NULL	NULL		NULL		2019
19695	Four Deep Learning Papers to Read in March 2021 | by Robert Lange | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/four-deep-learning-papers-to-read-in-march-2021-9d933f52aafa	NULL	NULL		NULL		2019
19705	Perceptron | Intuition Behind Perceptron for Deep Learning	https://www.analyticsvidhya.com/blog/2021/03/intuition-behind-perceptron-for-deep-learning/	NULL	NULL		NULL		2021
19706	3 Mathematical Laws Data Scientists Need To Know - KDnuggets	https://www.kdnuggets.com/2021/03/3-mathematical-laws.html	NULL	NULL		NULL		2019
19707	Getting AI to Reason: Using Logical Neural Networks for Knowledge-Based Question Answering | by Inside IBM Research | The Startup | Medium	https://medium.com/swlh/getting-ai-to-reason-using-logical-neural-networks-for-knowledge-based-question-answering-60456654f5fa	NULL	NULL		NULL		2019
19708	Binary Cross Entropy/Log Loss for Binary Classification	https://www.analyticsvidhya.com/blog/2021/03/binary-cross-entropy-log-loss-for-binary-classification/	NULL	NULL		NULL		2021
19709	Image Similarity | Implement Image Similarity in Python	https://www.analyticsvidhya.com/blog/2021/03/a-beginners-guide-to-image-similarity-using-python/	NULL	NULL		NULL		2021
19710	Cost Function | What is Cost Function | Introduction to Cost Function	https://www.analyticsvidhya.com/blog/2021/03/neural-network-101-ultimate-guide-for-starters/	NULL	NULL		NULL		2021
19711	Cost Function | Fundamentals of Linear Regression	https://www.analyticsvidhya.com/blog/2021/03/data-science-101-introduction-to-cost-function/	NULL	NULL		NULL		2021
19712	Gradient Descent Algorithm | How Does Gradient Descent Work	https://www.analyticsvidhya.com/blog/2021/03/understanding-gradient-descent-algorithm/	NULL	NULL		NULL		2021
19713	Softmax Function Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/softmax-layer	NULL	NULL		NULL		2019
19714	logit, softmax and cross entropy - Programmer Sought	https://www.programmersought.com/article/62574848686/	NULL	NULL		NULL		2019
19715	Interpreting logits: sigmoid vs softmax	https://web.stanford.edu/~nanbhas/blog/sigmoid-softmax.html	NULL	NULL		NULL		2020
19716	The Softmax Function, Simplified. How a regression formula improves... | by Hamza Mahmood | Towards Data Science	https://towardsdatascience.com/softmax-function-simplified-714068bf8156	NULL	NULL		NULL		2019
19717	Softmax classification with cross-entropy	https://peterroelants.github.io/posts/cross-entropy-softmax/	NULL	NULL		NULL		2019
19718	Unsupervised Feature Learning and Deep Learning Tutorial	http://deeplearning.stanford.edu/tutorial/supervised/SoftmaxRegression/	NULL	NULL		NULL		2019
19719	Logistic Regression | Logistic Regression for Data Scientists	https://www.analyticsvidhya.com/blog/2021/03/logistic-regression/	NULL	NULL		NULL		2021
19720	Axioms of Probability | Three Axioms of Probability	https://www.analyticsvidhya.com/blog/2021/03/axioms-of-probability-every-data-scientist-should-know/	NULL	NULL		NULL		2021
19721	Forward Propagation | Forward Propagation and Errors in Neural Network	https://www.analyticsvidhya.com/blog/2021/03/forward-propagation/	NULL	NULL		NULL		2021
19722	Beautiful decision tree visualizations with dtreeviz - KDnuggets	https://www.kdnuggets.com/2021/03/beautiful-decision-tree-visualizations-dtreeviz.html	NULL	NULL		NULL		2019
19723	The correct way to tune parameters ? Part 1 — Optimizer | by Pierre-Nicolas Tiffreau | Picsellia | Mar, 2021 | Medium	https://medium.com/picsellia/the-correct-way-to-tune-parameters-part-1-optimizer-30fa66ccd11d	NULL	NULL		NULL		2019
19725	Neural Networks From Linear Algebraic Perspective | Khalid Saifullah	https://khalidsaifullaah.github.io/neural-networks-from-linear-algebraic-perspective	NULL	NULL		NULL		2019
19727	From Text to Knowledge: The Information Extraction Pipeline | by Tomaz Bratanic | Feb, 2021 | Towards Data Science	https://towardsdatascience.com/from-text-to-knowledge-the-information-extraction-pipeline-b65e7e30273e	NULL	NULL		NULL		2019
19728	Eigenvectors and Eigenvalues: A deeper understanding | by Muhammad Abdullah Bilal | Analytics Vidhya | Mar, 2021 | Medium	https://abdullahbilal64.medium.com/eigenvectors-and-eigenvalues-a-deeper-understanding-c715f8ded4c7	NULL	NULL		NULL		2019
19729	Discovering the Encoded Linguistic Knowledge in NLP models | by Keyur Faldu | Towards Data Science	https://towardsdatascience.com/encoded-linguistic-knowledge-in-nlp-models-b9558ba90943	NULL	NULL		NULL		2019
19730	Variants of Gradient Descent Algorithm | Types of Gradient Descent	https://www.analyticsvidhya.com/blog/2021/03/variants-of-gradient-descent-algorithm/	NULL	NULL		NULL		2021
19731	Maximal Marginal Relevance to Re-rank results in Unsupervised KeyPhrase Extraction | by Aditya Kumar | tech-that-works | Medium	https://medium.com/tech-that-works/maximal-marginal-relevance-to-rerank-results-in-unsupervised-keyphrase-extraction-22d95015c7c5	NULL	NULL		NULL		2019
19732	Gated Recurrent Unit | Introduction to Gated Recurrent Unit(GRU)	https://www.analyticsvidhya.com/blog/2021/03/introduction-to-gated-recurrent-unit-gru/	NULL	NULL		NULL		2021
19733	  Natural Language Processing Pipelines, Explained - KDnuggets	https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html	NULL	NULL		NULL		2019
19734	 Metric Matters, Part 1: Evaluating Classification ... - Alteryx Community	https://community.alteryx.com/t5/Data-Science/Metric-Matters-Part-1-Evaluating-Classification-Models/ba-p/719190	NULL	NULL		NULL		2019
19735	A Light Intro To Tensors. A Framework For Defining Geometric... | by Jesus Najera | Mar, 2021 | Cantor’s Paradise	https://www.cantorsparadise.com/a-light-intro-to-tensors-49508a0a82ab	NULL	NULL		NULL		2019
19736	Easy sentence similarity with BERT Sentence Embeddings using John Snow Labs NLU | by Christian Kasim Loan | spark-nlp | Medium	https://medium.com/spark-nlp/easy-sentence-similarity-with-bert-sentence-embeddings-using-john-snow-labs-nlu-ea078deb6ebf	NULL	NULL		NULL		2019
19738	Improving your Deep Learning model using Model Checkpointing- Part 1	https://www.analyticsvidhya.com/blog/2021/03/improving-your-deep-learning-model-using-model-checkpointing-part-1/	NULL	NULL		NULL		2021
19741	Linear Regression as an Optimization Problem. | by TableAnalysis | The Startup | Medium	https://medium.com/swlh/simple-linear-regression-as-an-optimization-problem-2ffe13dda925	NULL	NULL		NULL		2019
19918	How to compute inter-rater reliability metrics (Cohen’s Kappa, Fleiss’s Kappa, Cronbach Alpha, Krippendorff Alpha, Scott’s Pi, Inter-class correlation) in Python – LearnAITech	https://learnaitech.com/how-to-compute-inter-rater-reliablity-metrics-cohens-kappa-fleisss-kappa-cronbach-alpha-kripndorff-alpha-scotts-pi-inter-class-correlation-in-python/	NULL	NULL		NULL		2020
19919	Vector Norms | Vector Norms in Machine Learning and Data Science	https://www.analyticsvidhya.com/blog/2021/03/must-known-vector-norms-in-machine-learning/	NULL	NULL		NULL		2021
19920	Information Gain | Best Split in Decision Trees using Information Gain	https://www.analyticsvidhya.com/blog/2021/03/how-to-select-best-split-in-decision-trees-using-information-gain/	NULL	NULL		NULL		2021
19921	403 Forbidden	https://www.kdnuggets.com/2021/03/begin-nlp-journey.html	NULL	NULL		NULL		2019
19923	Tokenization and Text Normalization - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/03/tokenization-and-text-normalization/	NULL	NULL		NULL		2021
19925	403 Forbidden	https://www.topbots.com/information-extraction-pipeline/	NULL	NULL		NULL		2019
19926	Guide to Abstract Meaning Representation(AMR) to text with TensorFlow - Analytics India Magazine	https://analyticsindiamag.com/guide-to-abstract-meaning-representationamr-to-text-with-tensorflow/	NULL	NULL		NULL		2021
19927	Simple Linear Regression in Python | Simple Linear Regression Tutorial	https://www.analyticsvidhya.com/blog/2021/03/a-practical-tutorial-to-simple-linear-regression-using-python/	NULL	NULL		NULL		2021
20026	403 Forbidden	https://www.kdnuggets.com/2021/05/data-preparation-sql-cheat-sheet.html	NULL	NULL		NULL		2019
20028	Monotonic Queue Explained with LeetCode Problems | by Li Yin | Algorithms and Coding Interviews | Medium	https://medium.com/algorithms-and-leetcode/monotonic-queue-explained-with-leetcode-problems-7db7c530c1d6	NULL	NULL		NULL		2019
20029	A Quick Guide To Using Regression With Image Data In Fastai | by Bilal Tahir | Medium	https://medium.com/@btahir/a-quick-guide-to-using-regression-with-image-data-in-fastai-117304c0af90	NULL	NULL		NULL		2019
20355	403 Forbidden	https://www.topbots.com/fine-tune-transformers-in-pytorch/	NULL	NULL		NULL		2019
20356	Finetune Transformers - George Mihaila	https://gmihaila.github.io/tutorial_notebooks/finetune_transformers_pytorch/	NULL	NULL		NULL		2019
20357	Bayes Theorem | Introduction to Bayes Theorem for Data Science	https://www.analyticsvidhya.com/blog/2021/03/introduction-to-bayes-theorem-for-data-science/	NULL	NULL		NULL		2021
20358	Bert Inner Workings - George Mihaila	https://gmihaila.github.io/tutorial_notebooks/bert_inner_workings/	NULL	NULL		NULL		2019
20359	PyTorchText BucketIterator - George Mihaila	https://gmihaila.github.io/tutorial_notebooks/pytorchtext_bucketiterator/	NULL	NULL		NULL		2019
20360	Pretrain Transformers - George Mihaila	https://gmihaila.github.io/tutorial_notebooks/pretrain_transformers_pytorch/	NULL	NULL		NULL		2019
20362	GPT2 Finetune Classification - George Mihaila	https://gmihaila.github.io/tutorial_notebooks/gpt2_finetune_classification/	NULL	NULL		NULL		2019
20363	403 Forbidden	https://www.topbots.com/pretrain-transformers-models-in-pytorch/	NULL	NULL		NULL		2019
20364	Naive Bayes Algorithm | Types of Naive Bayes | How Naive Bayes Works	https://www.analyticsvidhya.com/blog/2021/03/introduction-to-naive-bayes-algorithm/	NULL	NULL		NULL		2021
20366	KGCNs: Machine Learning over Knowledge Graphs with TensorFlow | by James Fletcher | Towards Data Science	https://towardsdatascience.com/kgcns-machine-learning-over-knowledge-graphs-with-tensorflow-a1d3328b8f02	NULL	NULL		NULL		2019
20367	403 Forbidden	https://www.topbots.com/explain-gans-from-scratch-part1/	NULL	NULL		NULL		2019
20368	403 Forbidden	https://www.topbots.com/step-by-step-implementation-of-gans-part-2/	NULL	NULL		NULL		2019
20369	Curse of Dimensionality | Curse of Dimensionality in Machine Learning	https://www.analyticsvidhya.com/blog/2021/04/the-curse-of-dimensionality-in-machine-learning/	NULL	NULL		NULL		2021
20370	Data Visualization | Guide to Data Visualization for Beginners	https://www.analyticsvidhya.com/blog/2021/04/a-complete-beginners-guide-to-data-visualization/	NULL	NULL		NULL		2021
20371	Is Gradient Descent Sufficient for Neural Network Models	https://www.analyticsvidhya.com/blog/2021/04/is-gradient-descent-sufficient-for-neural-network/	NULL	NULL		NULL		2021
20373	A Word2Vec Keras tutorial – Adventures in Machine Learning	https://adventuresinmachinelearning.com/word2vec-keras-tutorial/	NULL	NULL		NULL		2017
20374	Transfer learning in TensorFlow 2 tutorial – Adventures in Machine Learning	https://adventuresinmachinelearning.com/transfer-learning-tensorflow-2/	NULL	NULL		NULL		2019
20375	Softmax | What is Softmax Activation Function | Introduction to Softmax	https://www.analyticsvidhya.com/blog/2021/04/introduction-to-softmax-for-neural-network/	NULL	NULL		NULL		2021
20376	Rejection Sampling with Python. Examples using the Normal and Cauchy... | by Michael Grogan | Towards Data Science	https://towardsdatascience.com/rejection-sampling-with-python-d7a30cfc327b	NULL	NULL		NULL		2019
20377	A simple introduction to machine learning | by Azuremis | Mar, 2021 | DataDrivenInvestor	https://medium.datadriveninvestor.com/a-simple-introduction-to-machine-learning-bb64cca48476	NULL	NULL		NULL		2019
20379	Gradient Descent in Linear Regression | Introduction to Gradient Descent	https://www.analyticsvidhya.com/blog/2021/04/gradient-descent-in-linear-regression/	NULL	NULL		NULL		2021
20380	Dimensionality Reduction a Descry for Data Scientist - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/04/dimensionality-reduction-a-descry-for-data-scientist/	NULL	NULL		NULL		2021
20381	Markov Chain Use Case | Generating Fantasy Titles with a Markov Chain	https://www.analyticsvidhya.com/blog/2021/04/generating-fantasy-titles-with-a-markov-chain/	NULL	NULL		NULL		2021
20389	The algorithm known as PCA and my taxonomy of linear dimension reductions – Data Science Blog	https://data-science-blog.com/blog/2020/11/23/pca-and-lda/	NULL	NULL		NULL		2019
20390	Multi-head attention mechanism: “queries”, “keys”, and “values,” over and over again – Data Science Blog	https://data-science-blog.com/blog/2021/04/07/multi-head-attention-mechanism/	NULL	NULL		NULL		2019
20393	Seq2seq models and simple attention mechanism: backbones of NLP tasks – Data Science Blog	https://data-science-blog.com/blog/2021/02/17/sequence-to-sequence-models-back-bones-of-various-nlp-tasks/	NULL	NULL		NULL		2019
20394	Instructions on Transformer for people outside NLP field, but with examples of NLP – Data Science Blog	https://data-science-blog.com/blog/2020/12/30/transformer/	NULL	NULL		NULL		2019
20395	On the difficulty of language: prerequisites for NLP with deep learning – Data Science Blog	https://data-science-blog.com/blog/2021/01/27/on-the-difficulty-of-natural-language-processing-prerequisites-for-nlp-with-deep-learning/	NULL	NULL		NULL		2019
20396	How to Automatically Determine the Number of Clusters in your Data - and more - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/how-to-automatically-determine-the-number-of-clusters-in-your-dat	NULL	NULL		NULL		2019
20397	Simplified Logistic Regression - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/simplified-logistic-regression	NULL	NULL		NULL		2019
20399	How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch | AI Summer	https://theaisummer.com/graph-convolutional-networks/	NULL	NULL		NULL		2019
20401	Learning FastText. A little personal context | by Xun Ding | Towards Data Science	https://towardsdatascience.com/fasttext-ea9009dba0e8	NULL	NULL		NULL		2019
20403	fasttext · PyPI	https://pypi.org/project/fasttext/	NULL	NULL		NULL		2020
20406	FastText Working and Implementation - GeeksforGeeks	https://www.geeksforgeeks.org/fasttext-working-and-implementation/	NULL	NULL		NULL		2019
20407	A Visual Guide to FastText Word Embeddings	https://amitness.com/2020/06/fasttext-embeddings/	NULL	NULL		NULL		2020
20408	Activation Functions | What are Activation Functions	https://www.analyticsvidhya.com/blog/2021/04/activation-functions-and-their-derivatives-a-quick-complete-guide/	NULL	NULL		NULL		2021
20409	Artificial Neural Network | How does Artificial Neural Network Work	https://www.analyticsvidhya.com/blog/2021/04/artificial-neural-network-its-inspiration-and-the-working-mechanism/	NULL	NULL		NULL		2021
20410	Sentiment Analysis With Long Sequences | Towards Data Science	https://towardsdatascience.com/how-to-apply-transformers-to-any-length-of-text-a5601410af7f	NULL	NULL		NULL		2019
20411	How to Build a Classifier with BERT in TensorFlow | Better Programming	https://betterprogramming.pub/build-a-natural-language-classifier-with-bert-and-tensorflow-4770d4442d41	NULL	NULL		NULL		2019
20412	The Evolution of Natural Language Processing | Towards Data Science	https://towardsdatascience.com/evolution-of-natural-language-processing-8e4532211cfe	NULL	NULL		NULL		2019
20415	Multi-Class Classification With Transformers | Towards Data Science	https://towardsdatascience.com/multi-class-classification-with-transformers-6cf7b59a033a	NULL	NULL		NULL		2019
20416	Measure NLP Accuracy With ROUGE | Towards Data Science	https://towardsdatascience.com/the-ultimate-performance-metric-in-nlp-111df6c64460	NULL	NULL		NULL		2019
20417	NER For Stock Mentions on Reddit | Towards Data Science	https://towardsdatascience.com/ner-for-extracting-stock-mentions-on-reddit-aa604e577be	NULL	NULL		NULL		2019
20418	Three NLP Decoding Methods | Towards Data Science	https://towardsdatascience.com/the-three-decoding-methods-for-nlp-23ca59cb1e9d	NULL	NULL		NULL		2019
20419	Question and Answering With Bert | Towards Data Science	https://towardsdatascience.com/question-and-answering-with-bert-6ef89a78dac	NULL	NULL		NULL		2019
20420	Most Powerful NLP Transformer - ELECTRA | Towards Data Science	https://towardsdatascience.com/electra-is-bert-supercharged-b450246c4edb	NULL	NULL		NULL		2019
20421	How-to Fine-Tune a Q&A Transformer | by James Briggs | Towards Data Science	https://towardsdatascience.com/how-to-fine-tune-a-q-a-transformer-86f91ec92997	NULL	NULL		NULL		2019
20422	Code-Along Introduction to Elasticsearch | Towards Data Science	https://towardsdatascience.com/next-gen-data-storage-and-analytics-with-elasticsearch-a833ca7ca54a	NULL	NULL		NULL		2019
20423	Learn RegEx From Beginner to Advanced | Towards Data Science	https://towardsdatascience.com/novice-to-advanced-regex-in-nine-minutes-or-less-6af45a1df8c8	NULL	NULL		NULL		2019
20424	How-to Master SQL For Free With Open-Source | Towards Data Science	https://towardsdatascience.com/how-to-master-sql-for-free-with-open-source-7eb03e1a0dd0	NULL	NULL		NULL		2019
20425	NLP Text Summarization With Python and T5 | Better Programming	https://betterprogramming.pub/how-to-summarize-text-with-googles-t5-4dd1ae6238b6	NULL	NULL		NULL		2019
20426	Everything You Need to Know About TensorFlow | Towards Data Science	https://towardsdatascience.com/introduction-to-tensorflow-ac1cc204d547	NULL	NULL		NULL		2019
20427	Text Generation With GPT-2 in Python | Towards Data Science	https://towardsdatascience.com/text-generation-with-python-and-gpt-2-1fecbff1635b	NULL	NULL		NULL		2019
20428	Setup Python for Machine Learning | Towards Data Science	https://towardsdatascience.com/how-to-setup-python-for-machine-learning-173cb25f0206	NULL	NULL		NULL		2019
20429	101 SQL with Python Code Tutorial | Towards Data Science	https://towardsdatascience.com/sql-in-python-402ad2749de5	NULL	NULL		NULL		2019
20430	Three Out-of-the-Box Transformer Models | Towards Data Science	https://towardsdatascience.com/three-out-of-the-box-transformer-models-4bc4880bc992	NULL	NULL		NULL		2019
20433	Facebook Eli5 is an Open Source Dataset for Long-Form Question Answering Models | by Jesus Rodriguez | DataSeries | Apr, 2021 | Medium	https://medium.com/dataseries/facebook-eli5-is-an-open-source-dataset-for-long-form-question-answering-models-fa13e6ed4674	NULL	NULL		NULL		2019
20434	403 Forbidden	https://searchengineland.com/faq-all-about-the-bert-algorithm-in-google-search-324193	NULL	NULL		NULL		2019
20435	403 Forbidden	https://searchengineland.com/google-bert-used-on-almost-every-english-query-342193	NULL	NULL		NULL		2019
20436	Google BERT: How Does The New Search Algorithm Work	https://rockcontent.com/blog/google-bert/	NULL	NULL		NULL		2019
20437	Understanding searches better than ever before	https://blog.google/products/search/search-language-understanding-bert/	NULL	NULL		NULL		2019
20438	PyTorch Library | What is PyTorch Library for Deep Learning |	https://www.analyticsvidhya.com/blog/2021/04/a-gentle-introduction-to-pytorch-library/	NULL	NULL		NULL		2021
20439	A Guide to K-Means Clustering in Python | Towards Data Science	https://towardsdatascience.com/k-means-clustering-in-python-4061510145cc	NULL	NULL		NULL		2019
20441	NLP Similarity Metrics | Towards Data Science	https://towardsdatascience.com/similarity-metrics-in-nlp-acc0777e234c	NULL	NULL		NULL		2019
20442	How Dense Passage Retrievers (DPR) Work | Towards Data Science	https://towardsdatascience.com/how-to-create-an-answer-from-a-question-with-dpr-d76e29cc5d60	NULL	NULL		NULL		2019
20443	Why FAISS Works | Towards Data Science	https://towardsdatascience.com/facebook-ai-similarity-search-7c564daee9eb	NULL	NULL		NULL		2019
20447	Build your own Text classification with less than 25 lines of code using fasttext | by Ravindra Elicherla | Medium	https://ravindraelicherla.medium.com/build-your-own-text-classification-in-less-than-25-lines-of-code-using-fasttext-dae7229f80f9	NULL	NULL		NULL		2019
20452	FastText: Under the Hood. Where we look at how one of the best... | by Nishan Subedi | Towards Data Science	https://towardsdatascience.com/fasttext-under-the-hood-11efc57b2b3	NULL	NULL		NULL		2019
20453	Understanding Transformers, the Programming Way - MLWhiz	https://mlwhiz.com/blog/2020/10/10/create-transformer-from-scratch/	NULL	NULL		NULL		2019
20454	Understanding Transformers, the Data Science Way - MLWhiz	https://mlwhiz.com/blog/2020/09/20/transformers/	NULL	NULL		NULL		2019
20455	Explaining BERT Simply Using Sketches | by Rahul Agarwal | Apr, 2021 | Medium	https://towardsdatascience.com/explaining-bert-simply-using-sketches-ba30f6f0c8cb	NULL	NULL		NULL		2019
20456	The Most Complete Guide to PyTorch for Data Scientists - MLWhiz	https://mlwhiz.com/blog/2020/09/09/pytorch_guide/	NULL	NULL		NULL		2019
20457	A Layman's guide to ROC Curves And AUC - MLWhiz	https://mlwhiz.com/blog/2021/02/03/roc-auc-curves-explained/	NULL	NULL		NULL		2019
20458	A Layman’s Introduction to GANs for Data Scientists using PyTorch - MLWhiz	https://mlwhiz.com/blog/2020/08/27/pyt_gan/	NULL	NULL		NULL		2019
20459	100x faster Hyperparameter Search Framework with Pyspark - MLWhiz	https://mlwhiz.com/blog/2020/02/22/hyperspark/	NULL	NULL		NULL		2019
20460	Confidence Intervals Explained Simply for Data Scientists - MLWhiz	https://mlwhiz.com/blog/2020/02/21/ci/	NULL	NULL		NULL		2019
20461	Demystified: Kullback–Leibler Divergence | by Sam Black | Medium	https://sam-black.medium.com/demystified-kullback-leibler-divergence-3971f956ef34	NULL	NULL		NULL		2019
20462	Approximating the Softmax for Learning Word Embeddings	https://ruder.io/word-embeddings-softmax/	NULL	NULL		NULL		2016
20463	Neural networks [10.7] : Natural language processing - hierarchical output layer - YouTube	https://www.youtube.com/watch?v=B95LTf2rVWM	NULL	NULL		NULL		2019
20464	Hierarchical Softmax – Building Babylon	http://building-babylon.net/2017/08/01/hierarchical-softmax/	NULL	NULL		NULL		2017
20465	Lei Mao's Log Book  – Hierarchical Softmax	https://leimao.github.io/article/Hierarchical-Softmax/	NULL	NULL		NULL		2019
20466	Hierarchical Softmax Explained | Papers With Code	https://paperswithcode.com/method/hierarchical-softmax	NULL	NULL		NULL		2019
20467	An implementation guide to Word2Vec using NumPy and Google Sheets	https://derekchia.com/an-implementation-guide-to-word2vec-using-numpy-and-google-sheets/	NULL	NULL		NULL		2018
20468	GitHub - DerekChia/word2vec_numpy: Word2Vec implementation using numpy	https://github.com/DerekChia/word2vec_numpy	NULL	NULL		NULL		2019
20471	Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick	http://mccormickml.com/2017/01/11/word2vec-tutorial-part-2-negative-sampling/	NULL	NULL		NULL		2017
20475	Implementing Word2Vec with Gensim Library in Python	https://stackabuse.com/implementing-word2vec-with-gensim-library-in-python/	NULL	NULL		NULL		2019
20476	Python implementation of Word2Vec | Marginalia	http://www.claudiobellei.com/2018/01/07/backprop-word2vec-python/	NULL	NULL		NULL		2018
20478	Word2vec Concept from scratch – part 1 – Artificial Intelligence	http://mbenhaddou.com/2019/12/14/word2vec-concepts-from-scratch/	NULL	NULL		NULL		2019
20479	02-word2vec-from-scratch | jupyter notebooks gallery	https://notebook.community/henchc/Rediscovering-Text-as-Data/11-Word-Embeddings/02-word2vec-from-scratch	NULL	NULL		NULL		2019
20480	Word2vec from Scratch - Jake Tae	https://jaketae.github.io/study/word2vec/	NULL	NULL		NULL		2020
20481	Word2vec from scratch in Python — Steemit	https://steemit.com/nlp/@aquib/word2vec-from-scratch-in-python	NULL	NULL		NULL		2019
20483	Word2vec from Scratch : learnmachinelearning	https://www.reddit.com/r/learnmachinelearning/comments/as00ho/word2vec_from_scratch/	NULL	NULL		NULL		2019
20484	Not Acceptable!	https://www.hackdeploy.com/tensorflow-word2vec-tutorial-from-scratch/	NULL	NULL		NULL		2019
20485	14.1. Word Embedding (word2vec) — Dive into Deep Learning 0.16.3 documentation	https://d2l.ai/chapter_natural-language-processing-pretraining/word2vec.html	NULL	NULL		NULL		2019
20486	Implementing Word2Vec in Tensorflow | by Saurabh Pal | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/implementing-word2vec-in-tensorflow-44f93cf2665f	NULL	NULL		NULL		2019
20487	Gensim Word2Vec Tutorial - Full Working Example | Kavita Ganesan, Ph.D	https://kavita-ganesan.com/gensim-word2vec-tutorial-starter-code/#.YG4bluhJErM	NULL	NULL		NULL		2020
20489	laptrinhx.com | 504: Gateway time-out	https://laptrinhx.com/an-intuitive-introduction-of-word2vec-by-building-a-word2vec-from-scratch-4242770070/	NULL	NULL		NULL		2019
20494	But what is a Neural Network? | Deep learning, chapter 1 - YouTube	https://www.youtube.com/watch?v=aircAruvnKk	NULL	NULL		NULL		2019
20496	Backpropagation calculus | Deep learning, chapter 4 - YouTube	https://www.youtube.com/watch?v=tIeHLnjs5U8	NULL	NULL		NULL		2019
20498	Synced Tradition and Machine Learning Series | Part 3: Optimization Basics – Probabilities and Inference | Synced	https://syncedreview.com/2021/04/02/synced-tradition-and-machine-learning-series-part-3-optimization-basics-probabilities-and-inference/	NULL	NULL		NULL		2021
20499	Guide To SciBERT: A Pre-trained BERT-Based Language Model For Scientific Text - Analytics India Magazine	https://analyticsindiamag.com/guide-to-scibert-a-pre-trained-bert-based-language-model-for-scientific-text/	NULL	NULL		NULL		2021
20500	What is the Longformer Transformer and how does it work? – MachineCurve	https://www.machinecurve.com/index.php/question/what-is-the-longformer-transformer-and-how-does-it-work/	NULL	NULL		NULL		2019
20501	Day 115 of #NLP365: NLP Papers Summary — SCIBERT: A Pretrained Language Model for Scientific Text | by Ryan Ong | Towards Data Science	https://towardsdatascience.com/day-115-of-nlp365-nlp-papers-summary-scibert-a-pretrained-language-model-for-scientific-text-185785598e33	NULL	NULL		NULL		2019
20502	Domain-Specific BERT Models · Chris McCormick	https://mccormickml.com/2020/06/22/domain-specific-bert-tutorial/	NULL	NULL		NULL		2020
20503	News Feed ranking, powered by machine learning - Facebook Engineering	https://engineering.fb.com/2021/01/26/ml-applications/news-feed-ranking/	NULL	NULL		NULL		2021
20505	Laplace Smoothing | Improve Naive Bayes Models with Laplace Smoothing	https://www.analyticsvidhya.com/blog/2021/04/improve-naive-bayes-text-classifier-using-laplace-smoothing/	NULL	NULL		NULL		2021
20506	Principal Component Analysis | Guide to Principal Component Analysis	https://www.analyticsvidhya.com/blog/2021/04/principal-component-analysis-introduction-and-practice-problem/	NULL	NULL		NULL		2021
20507	Introduction to Naive Bayes Classifiers | MarkTechPost	https://www.marktechpost.com/2021/04/17/introduction-to-naive-bayes-classifiers/	NULL	NULL		NULL		2021
20508	Document Summarization Techniques | Mosaic Data Science NLP Blog	https://www.mosaicdatascience.com/2020/08/25/document-summarization-techniques-nlp-blog/	NULL	NULL		NULL		2020
20509	Loss Function is the brain child of all the learning system | Artificial Intelligence in Plain English	https://ai.plainenglish.io/loss-function-4c8e565289b6	NULL	NULL		NULL		2019
20510	Generating Google search snippets using BERT-QA | Artificial Intelligence in Plain English	https://ai.plainenglish.io/how-to-use-bert-qa-model-with-html-content-d9bc09149845	NULL	NULL		NULL		2019
20511	Deep Q-Learning Simply Explained. Using Deep Q-Learning to train a... | by Ayan Nair | Apr, 2021 | Artificial Intelligence in Plain English	https://ai.plainenglish.io/deep-q-learning-simply-explained-450c35ac954b	NULL	NULL		NULL		2019
20512	Discrete Math — The Basics of Lexical Analysis: From NFA to DFA | by Naja Møgeltoft | Apr, 2021 | Artificial Intelligence in Plain English	https://ai.plainenglish.io/discrete-math-the-basics-of-lexical-analysis-from-nfa-to-dfa-59d611c7f4f9	NULL	NULL		NULL		2019
20513	Discrete Math — The Basics of Lexical Analysis: Regex | by Naja Møgeltoft | Mar, 2021 | Artificial Intelligence in Plain English	https://ai.plainenglish.io/discrete-math-the-basics-of-lexical-analysis-regex-15e1061a1b5c	NULL	NULL		NULL		2019
20514	Creating Your First Neural Network With PyTorch | by Zachary Galante | Mar, 2021 | Artificial Intelligence in Plain English	https://ai.plainenglish.io/creating-your-first-neural-network-with-pytorch-902cfccc56d6	NULL	NULL		NULL		2019
20515	Build a Deep Learning Text Generator Project with Markov Chains |  Medium | Artificial Intelligence in Plain English	https://ai.plainenglish.io/build-a-deep-learning-text-generator-project-with-markov-chains-a21ef8f77ac3	NULL	NULL		NULL		2019
20516	Graph Convolutional Networks (GCN) | by Chau Pham | Artificial Intelligence in Plain English	https://ai.plainenglish.io/graph-convolutional-networks-gcn-baf337d5cb6b	NULL	NULL		NULL		2019
20517	Polynomial Regression in Python. Step-by-step follow along | Data Series... | by Mazen Ahmed | Artificial Intelligence in Plain English	https://ai.plainenglish.io/implementing-polynomial-regression-in-python-d9aedf520d56	NULL	NULL		NULL		2019
20518	Introduction to Attention Mechanism: Bahdanau and Luong Attention | by Chingis Oinar | Artificial Intelligence in Plain English	https://ai.plainenglish.io/introduction-to-attention-mechanism-bahdanau-and-luong-attention-e2efd6ce22da	NULL	NULL		NULL		2019
20519	The Strength and Beauty of GraphQL in Use | by Sciforce | Sciforce | Medium	https://medium.com/sciforce/the-strength-and-beauty-of-graphql-in-use-16814fdc07cc	NULL	NULL		NULL		2019
20520	Summarization is commoditized, thanks to BERT. | Towards Data Science	https://towardsdatascience.com/summarization-has-gotten-commoditized-thanks-to-bert-9bb73f2d6922	NULL	NULL		NULL		2019
20523	Interpreting Semantic Text Similarity from Transformer Models | by Mathias Gruber | Apr, 2021 | Towards Data Science	https://towardsdatascience.com/interpreting-semantic-text-similarity-from-transformer-models-ba1b08e6566c	NULL	NULL		NULL		2019
20526	Adventures in Multi-Document Summarization: The Wikipedia Current Events Portal Dataset - AYLIEN News API	https://aylien.com/blog/multi-document-summarisation-and-the-wcep-dataset	NULL	NULL		NULL		2019
20527	403 Forbidden	https://www.topbots.com/graph-attention-networks-under-the-hood/	NULL	NULL		NULL		2019
20528	Unsupervised Learning. Learning with no guidance | by Mayur Jain | Apr, 2021 | Artificial Intelligence in Plain English	https://ai.plainenglish.io/unsupervised-learning-902315fcde9	NULL	NULL		NULL		2019
20529	17 types of similarity and dissimilarity measures used in data science. | by Mahmoud Harmouch | Towards Data Science	https://towardsdatascience.com/17-types-of-similarity-and-dissimilarity-measures-used-in-data-science-3eb914d2681	NULL	NULL		NULL		2019
20530	Logistic Regression|Beginner's Guide To Logistic Regression Using Python	https://www.analyticsvidhya.com/blog/2021/04/beginners-guide-to-logistic-regression-using-python/	NULL	NULL		NULL		2021
20532	Part-1: Introduction to Natural Language Processing (NLP) | by Wakeupcoders | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/part-1-introduction-to-natural-language-processing-nlp-a66ad8773b3	NULL	NULL		NULL		2019
20533	(Part — 1)What are derivatives and how to use them in Artificial Neural Networks? | by Wakeupcoders | Medium	https://wakeupcoders.medium.com/part-1-what-are-derivatives-and-how-to-use-them-in-artificial-neural-networks-fb236a494a80	NULL	NULL		NULL		2019
20534	Tensoboard | Beginner's Guide to Tensorboard | What is Tensorboard	https://www.analyticsvidhya.com/blog/2021/04/a-complete-guide-to-tensorboard/	NULL	NULL		NULL		2021
20535	NLP API | Google's NLP API to Analyze and Produce Better Content	https://www.analyticsvidhya.com/blog/2021/04/how-to-use-googles-nlp-api-to-analyze-and-produce-better-content/	NULL	NULL		NULL		2021
20536	Word2Vec (skip-gram model): PART 1 - Intuition. | by Manish Chablani | Towards Data Science	https://towardsdatascience.com/word2vec-skip-gram-model-part-1-intuition-78614e4d6e0b	NULL	NULL		NULL		2019
20537	An intuitive explanation of word2vec | by Skyler Dale | Towards Data Science	https://towardsdatascience.com/an-intuitive-explanation-of-word2vec-208bed0a0599	NULL	NULL		NULL		2019
20538	A Beginner's Guide to Word2Vec and Neural Word Embeddings | Pathmind	https://wiki.pathmind.com/word2vec	NULL	NULL		NULL		2019
20539	A Beginner's Guide to Attention Mechanisms and Memory Networks | Pathmind	https://wiki.pathmind.com/attention-mechanism-memory-network	NULL	NULL		NULL		2019
20540	A Beginner's Guide to Backpropagation in Neural Networks | Pathmind	https://wiki.pathmind.com/backpropagation	NULL	NULL		NULL		2019
20541	A Beginner's Guide to Neural Networks and Deep Learning | Pathmind	https://wiki.pathmind.com/neural-network	NULL	NULL		NULL		2019
20542	A Beginner's Guide to Bag of Words & TF-IDF | Pathmind	https://wiki.pathmind.com/bagofwords-tf-idf	NULL	NULL		NULL		2019
20543	              A Beginner's Guide to Bayes' Theorem, Naive Bayes Classifiers and Bayesian Networks | Pathmind          	https://wiki.pathmind.com/bayes-theorem-naive-bayes	NULL	NULL		NULL		2019
20544	A Beginner's Guide to Convolutional Neural Networks (CNNs) | Pathmind	https://wiki.pathmind.com/convolutional-network	NULL	NULL		NULL		2019
20545	Decision Tree | Pathmind	https://wiki.pathmind.com/decision-tree	NULL	NULL		NULL		2019
20546	Deep Autoencoders | Pathmind	https://wiki.pathmind.com/deep-autoencoder	NULL	NULL		NULL		2019
20547	A Beginner's Guide to Deep Reinforcement Learning | Pathmind	https://wiki.pathmind.com/deep-reinforcement-learning	NULL	NULL		NULL		2019
20548	              A Beginner's Guide to Eigenvectors, Eigenvalues, PCA, Covariance and Entropy | Pathmind          	https://wiki.pathmind.com/eigenvector	NULL	NULL		NULL		2019
20549	Denoising Autoencoders | Pathmind	https://wiki.pathmind.com/denoising-autoencoder	NULL	NULL		NULL		2019
20550	Word2Vec -Negative Sampling made easy | by Munesh Lakhey | towardsdatascience | Medium	https://medium.com/towards-datascience/word2vec-negative-sampling-made-easy-7a1a647e07a4	NULL	NULL		NULL		2019
20551	Word2vec Made Easy. This post is a simplified yet in-depth... | by Munesh Lakhey | Towards Data Science	https://towardsdatascience.com/word2vec-made-easy-139a31a4b8ae?source=friends_link&sk=1e2f262c86e7268971f4848bf5905aa0	NULL	NULL		NULL		2019
20552	Introduction to Word Embedding and Word2Vec | by Dhruvil Karani | Towards Data Science	https://towardsdatascience.com/introduction-to-word-embedding-and-word2vec-652d0c2060fa	NULL	NULL		NULL		2019
20553	A Beginner's Guide to Differentiable Programming | Pathmind	https://wiki.pathmind.com/differentiableprogramming	NULL	NULL		NULL		2019
20554	A Beginner's Guide to Generative Adversarial Networks (GANs) | Pathmind	https://wiki.pathmind.com/generative-adversarial-network-gan	NULL	NULL		NULL		2019
20555	A Beginner's Guide to Logistic Regression For Machine Learning | Pathmind	https://wiki.pathmind.com/logistic-regression	NULL	NULL		NULL		2019
20556	A Beginner's Guide to LSTMs and Recurrent Neural Networks | Pathmind	https://wiki.pathmind.com/lstm	NULL	NULL		NULL		2019
20557	              A Beginner's Guide to Markov Chain Monte Carlo, Machine Learning & Markov Blankets | Pathmind          	https://wiki.pathmind.com/markov-chain-monte-carlo	NULL	NULL		NULL		2019
20558	A Beginner's Guide to Natural Language Processing (NLP) | Pathmind	https://wiki.pathmind.com/natural-language-processing-nlp	NULL	NULL		NULL		2019
20559	A Beginner's Guide to Multilayer Perceptrons (MLP) | Pathmind	https://wiki.pathmind.com/multilayer-perceptron	NULL	NULL		NULL		2019
20560	Neural Network Tuning | Pathmind	https://wiki.pathmind.com/neural-network-tuning	NULL	NULL		NULL		2019
20562	Recurrent Networks | Pathmind	https://wiki.pathmind.com/recurrent-network-rnn	NULL	NULL		NULL		2019
20563	Recursive Neural Tensor Network | Pathmind	https://wiki.pathmind.com/recursive-neural-tensor-network	NULL	NULL		NULL		2019
20564	Symbolic Reasoning (Symbolic AI) and Machine Learning | Pathmind	https://wiki.pathmind.com/symbolic-reasoning	NULL	NULL		NULL		2019
20565	Thought Vectors | Pathmind	https://wiki.pathmind.com/thought-vectors	NULL	NULL		NULL		2019
20566	Variational Autoencoder (VAE) | Pathmind	https://wiki.pathmind.com/variational-autoencoder	NULL	NULL		NULL		2019
20568	Autoencoder in TensorFlow 2: Beginner’s Guide	https://learnopencv.com/autoencoder-in-tensorflow-2-beginners-guide/	NULL	NULL		NULL		2021
20569	Attention in Neural Networks - 1. Introduction to attention mechanism · Buomsoo Kim	https://buomsoo-kim.github.io/attention/2020/01/01/Attention-mechanism-1.md/	NULL	NULL		NULL		2019
20571	What Really IS a Matrix Determinant? | by Marcel Moosbrugger | Apr, 2021 | Towards Data Science	https://towardsdatascience.com/what-really-is-a-matrix-determinant-89c09884164c	NULL	NULL		NULL		2019
20572	Foundations of NLP Explained Visually: Beam Search, How it Works | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/foundations-of-nlp-explained-visually-beam-search-how-it-works-1586b9849a24	NULL	NULL		NULL		2019
20573	Neural Network Optimizers Made Simple: Core algorithms and why they are needed | by Ketan Doshi | Apr, 2021 | Towards Data Science	https://towardsdatascience.com/neural-network-optimizers-made-simple-core-algorithms-and-why-they-are-needed-7fd072cd2788	NULL	NULL		NULL		2019
20575	Transformers Explained Visually (Part 2): How it works, step-by-step | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/transformers-explained-visually-part-2-how-it-works-step-by-step-b49fa4a64f34	NULL	NULL		NULL		2019
20576	Transformers Explained Visually (Part 3): Multi-head Attention, deep dive | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/transformers-explained-visually-part-3-multi-head-attention-deep-dive-1c1ff1024853	NULL	NULL		NULL		2019
20581	Reinforcement Learning Explained Visually (Part 5): Deep Q Networks, step-by-step | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-explained-visually-part-5-deep-q-networks-step-by-step-5a5317197f4b	NULL	NULL		NULL		2019
20582	Reinforcement Learning Explained Visually (Part 6): Policy Gradients, step-by-step | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-explained-visually-part-6-policy-gradients-step-by-step-f9f448e73754	NULL	NULL		NULL		2019
20583	Audio Deep Learning Made Simple (Part 1): State-of-the-Art Techniques | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/audio-deep-learning-made-simple-part-1-state-of-the-art-techniques-da1d3dff2504	NULL	NULL		NULL		2019
20584	Audio Deep Learning Made Simple (Part 2): Why Mel Spectrograms perform better | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/audio-deep-learning-made-simple-part-2-why-mel-spectrograms-perform-better-aad889a93505	NULL	NULL		NULL		2019
20585	Audio Deep Learning Made Simple (Part 3): Data Preparation and Augmentation | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/audio-deep-learning-made-simple-part-3-data-preparation-and-augmentation-24c6e1f6b52	NULL	NULL		NULL		2019
20586	Audio Deep Learning Made Simple: Sound Classification, Step-by-Step | by Ketan Doshi | Mar, 2021 | Towards Data Science	https://towardsdatascience.com/audio-deep-learning-made-simple-sound-classification-step-by-step-cebc936bbe5	NULL	NULL		NULL		2019
20587	Audio Deep Learning Made Simple: Automatic Speech Recognition (ASR), How it Works | by Ketan Doshi | Mar, 2021 | Towards Data Science	https://towardsdatascience.com/audio-deep-learning-made-simple-automatic-speech-recognition-asr-how-it-works-716cfce4c706	NULL	NULL		NULL		2019
20588	How To Generate Meaningful Sentences Using a T5 Transformer? | by Vatsal Saglani | Apr, 2021 | Towards AI	https://pub.towardsai.net/how-to-generate-meaningful-sentences-using-a-t5-transformer-b755bee64882	NULL	NULL		NULL		2019
20589	Attention Mechanism	https://blog.floydhub.com/attention-mechanism/	NULL	NULL		NULL		2019
20590	Interfaces for Explaining Transformer Language Models – Jay Alammar – Visualizing machine learning one concept at a time.	http://jalammar.github.io/explaining-transformers/	NULL	NULL		NULL		2019
20591	Word Level English to Marathi Neural Machine Translation using Encoder-Decoder Model | by Harshall Lamba | Towards Data Science	https://towardsdatascience.com/word-level-english-to-marathi-neural-machine-translation-using-seq2seq-encoder-decoder-lstm-model-1a913f2dc4a7	NULL	NULL		NULL		2019
20592	NLP Datasets: How good is your deep learning model?	https://blog.floydhub.com/nlp-datasets-how-to-train-and-evaluate-your-deep-learning-model/	NULL	NULL		NULL		2020
20594	Attention Mechanisms in Deep Learning — Not So Special | by Dr Stephen Odaibo | The Blog of RETINA-AI Health, Inc. | Medium	https://medium.com/retina-ai-health-inc/attention-mechanisms-in-deep-learning-not-so-special-26de2a824f45	NULL	NULL		NULL		2019
20595	Neural machine translation with attention  |  TensorFlow Core	https://www.tensorflow.org/tutorials/text/nmt_with_attention	NULL	NULL		NULL		2019
20597	Transformers Explained. An exhaustive explanation of Google’s... | by Rohan Jagtap | Towards Data Science	https://towardsdatascience.com/transformers-explained-65454c0f3fa7	NULL	NULL		NULL		2019
20598	Self Attention and Transformers. From Attention to Self Attention to... | by Mahendran Venkatachalam | Towards Data Science	https://towardsdatascience.com/self-attention-and-transformers-882e9de5edda	NULL	NULL		NULL		2019
20599	The Transformer – Attention is all you need. - Micha? Chromiak's blog	https://mchromiak.github.io/articles/2017/Sep/12/Transformer-Attention-is-all-you-need/#.XreFtRbhU5l	NULL	NULL		NULL		2017
20601	BERT Transformers: How Do They Work? - DZone AI	https://dzone.com/articles/bert-transformers-how-do-they-work	NULL	NULL		NULL		2019
20602	Intuitive Introduction to BERT – MachineCurve	https://www.machinecurve.com/index.php/2021/01/04/intuitive-introduction-to-bert/	NULL	NULL		NULL		2021
20603	Generative Adversarial Networks, a gentle introduction – MachineCurve	https://www.machinecurve.com/index.php/2021/03/23/generative-adversarial-networks-a-gentle-introduction/	NULL	NULL		NULL		2021
20604	Transformers for Long Text: Code Examples with Longformer – MachineCurve	https://www.machinecurve.com/index.php/2021/03/12/transformers-for-long-text-code-examples-with-longformer/	NULL	NULL		NULL		2021
20605	BERT for Humans: Tutorial+Baseline | Kaggle	https://www.kaggle.com/abhinand05/bert-for-humans-tutorial-baseline	NULL	NULL		NULL		2019
20609	403 Forbidden	https://searchengineland.com/a-deep-dive-into-bert-how-bert-launched-a-rocket-into-natural-language-understanding-324522	NULL	NULL		NULL		2019
20610	Machine Learning — Singular Value Decomposition (SVD) & Principal Component Analysis (PCA) | by Jonathan Hui | Medium	https://jonathan-hui.medium.com/machine-learning-singular-value-decomposition-svd-principal-component-analysis-pca-1d45e885e491	NULL	NULL		NULL		2019
20611	Linformer - Self-Attention with Linear Complexity | by Nabil MADALI | Medium	https://medium.com/@nabil.madali/linformer-self-attention-with-linear-complexity-41b55819ba14	NULL	NULL		NULL		2019
20612	How to Calculate Feature Importance With Python	https://machinelearningmastery.com/calculate-feature-importance-with-python/	NULL	NULL		NULL		2019
20613	3 Essential Ways to Calculate Feature Importance in Python | by Dario Radec?ic? | Towards Data Science	https://towardsdatascience.com/3-essential-ways-to-calculate-feature-importance-in-python-2f9149592155	NULL	NULL		NULL		2019
20614	Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/index.html	NULL	NULL		NULL		2019
20615	Chapter 1 Introduction | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/introduction.html	NULL	NULL		NULL		2019
20616	Chapter 2 Introduction: Deep Learning for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/introduction-deep-learning-for-nlp.html	NULL	NULL		NULL		2019
20617	Chapter 3 Foundations/Applications of Modern NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/foundationsapplications-of-modern-nlp.html	NULL	NULL		NULL		2019
20618	Chapter 4 Recurrent neural networks and their applications in NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/recurrent-neural-networks-and-their-applications-in-nlp.html	NULL	NULL		NULL		2019
20619	Chapter 6 Introduction: Transfer Learning for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/introduction-transfer-learning-for-nlp.html	NULL	NULL		NULL		2019
20620	Chapter 7 Transfer Learning for NLP I | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/transfer-learning-for-nlp-i.html	NULL	NULL		NULL		2019
20621	Chapter 8 Attention and Self-Attention for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/attention-and-self-attention-for-nlp.html	NULL	NULL		NULL		2019
20622	Chapter 9 Transfer Learning for NLP II | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/transfer-learning-for-nlp-ii.html	NULL	NULL		NULL		2019
20623	Chapter 10 Introduction: Resources for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/introduction-resources-for-nlp.html	NULL	NULL		NULL		2019
20624	Chapter 11 Resources and Benchmarks for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/resources-and-benchmarks-for-nlp.html	NULL	NULL		NULL		2019
20625	Chapter 12 Use-Cases for NLP | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/use-cases-for-nlp.html	NULL	NULL		NULL		2019
20626	Chapter 13 Natural Language Generation | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/natural-language-generation.html	NULL	NULL		NULL		2019
20627	Chapter 14 Epilogue | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/epilogue.html	NULL	NULL		NULL		2019
20628	Chapter 15 Acknowledgements | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/acknowledgements.html	NULL	NULL		NULL		2019
20629	References | Modern Approaches in Natural Language Processing	https://compstat-lmu.github.io/seminar_nlp_ss20/references.html	NULL	NULL		NULL		2019
20630	Hands-on Graph Neural Networks with PyTorch & PyTorch Geometric | by Kung-Hsiang, Huang (Steeve) | Towards Data Science	https://towardsdatascience.com/hands-on-graph-neural-networks-with-pytorch-pytorch-geometric-359487e221a8	NULL	NULL		NULL		2019
20734	ACL Tutorial 3 - Semi-structured Text.pdf - Google Drive	https://drive.google.com/file/d/1Wsy_8h_7UqsqFyf5CeAHrMrYNlNFXqdA/view	NULL	NULL		NULL		2021
20811	Variational Autoencoder in TensorFlow (Python Code)	https://learnopencv.com/variational-autoencoder-in-tensorflow/	NULL	NULL		NULL		2021
20812	Understanding Autoencoders using Tensorflow (Python) | Learn OpenCV	https://learnopencv.com/understanding-autoencoders-using-tensorflow-python/	NULL	NULL		NULL		2017
20813	Understanding Activation Functions in Deep Learning | Learn OpenCV	https://learnopencv.com/understanding-activation-functions-in-deep-learning/	NULL	NULL		NULL		2017
20814	Attention Mechanisms With Keras | Paperspace Blog	https://blog.paperspace.com/seq-to-seq-attention-mechanism-keras/	NULL	NULL		NULL		2021
20815	Introduction to Visual Question Answering | Paperspace Blog	https://blog.paperspace.com/introduction-to-visual-question-answering/	NULL	NULL		NULL		2021
20816	How to make a toy English-German translator with multi-head attention heat maps: the overall architecture of Transformer – Data Science Blog	https://data-science-blog.com/blog/2021/05/10/constructing-transformer-model-little-by-little/	NULL	NULL		NULL		2021
20817	Explaining BERT Simply Using Sketches | by Rahul Agarwal | Apr, 2021 | Medium	https://mlwhiz.medium.com/explaining-bert-simply-using-sketches-ba30f6f0c8cb	NULL	NULL		NULL		2021
20818	An Understandable Guide to ROC Curves And AUC and Why and When to use them? | by Rahul Agarwal | Towards Data Science	https://towardsdatascience.com/an-understandable-guide-to-roc-curves-and-auc-and-why-and-when-to-use-them-92020bc4c5c1	NULL	NULL		NULL		2021
20819	Convolutional Autoencoder For Image Denoising	https://keras.io/examples/vision/autoencoder/	NULL	NULL		NULL		2021
20820	Variational autoencoders.	https://www.jeremyjordan.me/variational-autoencoders/	NULL	NULL		NULL		2018
20821	Transformers from Scratch in PyTorch | by Frank Odom | The DL	https://medium.com/the-dl/transformers-from-scratch-in-pytorch-8777e346ca51	NULL	NULL		NULL		2021
20822	Custom Named Entity Recognition (NER) | Product AI	https://medium.com/product-ai/custom-named-entity-recognition-ner-329e73cf909b	NULL	NULL		NULL		2021
20823	Deep Learning Based Recommender Systems | by Sciforce | Sciforce | Apr, 2021 | Medium	https://medium.com/sciforce/deep-learning-based-recommender-systems-b61a5ddd5456	NULL	NULL		NULL		2021
20824	Speech synthesis: A review of the best text to speech architectures with Deep Learning | AI Summer	https://theaisummer.com/text-to-speech/	NULL	NULL		NULL		2021
20825	Why multi-head self attention works: math, intuitions and 10+1 hidden insights | AI Summer	https://theaisummer.com/self-attention/	NULL	NULL		NULL		2021
20826	How Transformers work in deep learning and NLP: an intuitive introduction  | AI Summer	https://theaisummer.com/transformer/	NULL	NULL		NULL		2021
20828	Document clustering | AI Summer	https://theaisummer.com/Document_clustering/	NULL	NULL		NULL		2021
20829	403 Forbidden	https://www.kdnuggets.com/2021/05/essential-linear-algebra-data-science-machine-learning.html	NULL	NULL		NULL		2021
20830	403 Forbidden	https://www.kdnuggets.com/2021/02/essential-math-data-science-matrices-matrix-product.html	NULL	NULL		NULL		2021
20831	403 Forbidden	https://www.kdnuggets.com/2020/12/matrix-decomposition-decoded.html	NULL	NULL		NULL		2021
20832	Machine Learning: Dimensionality Reduction via Linear Discriminant Analysis | by Benjamin Obi Tayo Ph.D. | Towards AI	https://medium.com/towards-artificial-intelligence/machine-learning-dimensionality-reduction-via-linear-discriminant-analysis-cc96b49d2757	NULL	NULL		NULL		2021
20833	Linear Regression Basics for Absolute Beginners | by Benjamin Obi Tayo Ph.D. | Towards AI	https://pub.towardsai.net/linear-regression-basics-for-absolute-beginners-68ed9ff980ae	NULL	NULL		NULL		2021
20834	GitHub - bot13956/perceptron_classifier	https://github.com/bot13956/perceptron_classifier	NULL	NULL		NULL		2021
20836	Understanding Semantic Analysis Using Python - NLP | Towards AI	https://pub.towardsai.net/understanding-semantic-analysis-using-python-nlp-f48016422677	NULL	NULL		NULL		2021
20837	Machine Learning Algorithms For Beginners with Code Examples in Python | by Towards AI Team | Towards AI	https://pub.towardsai.net/machine-learning-algorithms-for-beginners-with-python-code-examples-ml-19c6afd60daa	NULL	NULL		NULL		2021
20838	Simple Linear Regression Tutorial for Machine Learning (ML) | by Towards AI Team | Towards AI	https://towardsai.net/p/machine-learning/calculating-simple-linear-regression-and-linear-best-fit-an-in-depth-tutorial-with-math-and-python-804a0cb23660	NULL	NULL		NULL		2021
20839	How, When, and Why Should You Normalize / Standardize / Rescale Your Data? | by Swetha Lakshmanan | Towards AI	https://pub.towardsai.net/how-when-and-why-should-you-normalize-standardize-rescale-your-data-3f083def38ff	NULL	NULL		NULL		2021
20840	Main Types of Neural Networks and its Applications — Tutorial | Towards AI	https://pub.towardsai.net/main-types-of-neural-networks-and-its-applications-tutorial-734480d7ec8e	NULL	NULL		NULL		2021
20841	Text Mining in Python: Steps and Examples | by Dhilip Subramanian | Towards AI	https://pub.towardsai.net/text-mining-in-python-steps-and-examples-78b3f8fd913b	NULL	NULL		NULL		2021
20842	Natural Language Processing (NLP) with Python — Tutorial | by Towards AI Team | Towards AI	https://pub.towardsai.net/natural-language-processing-nlp-with-python-tutorial-for-beginners-1f54e610a1a0	NULL	NULL		NULL		2021
20843	A Basic Perceptron Model Using Least Squares Method | by Benjamin Obi Tayo Ph.D. | Towards AI	https://medium.com/towards-artificial-intelligence/basic-perceptron-model-using-least-squares-method-17900e0d1eff	NULL	NULL		NULL		2021
20844	Machine Learning: Python Linear Regression Estimator Using Gradient Descent | by Benjamin Obi Tayo Ph.D. | Towards AI	https://medium.com/towards-artificial-intelligence/machine-leaning-python-linear-regression-estimator-using-gradient-descent-b0b2c496e463	NULL	NULL		NULL		2021
20845	Fastai Course Chapter 2 on Linux. An expanded guide with definitions of... | by David Littlefield | Apr, 2021 | Towards AI	https://pub.towardsai.net/fastai-course-chapter-2-on-linux-42d7a406349	NULL	NULL		NULL		2021
20846	GPT-3 Explained to a 5-year-old. If you haven’t been paying attention to... | by Daksh Trehan | Mar, 2021 | Towards AI	https://pub.towardsai.net/gpt-3-explained-to-a-5-year-old-1f3cb9fa030b	NULL	NULL		NULL		2021
20847	Descriptive Statistics. This article provides a sample of our... | by Towards AI Team | Towards AI	https://pub.towardsai.net/descriptive-statistics-21fc0196c1df	NULL	NULL		NULL		2021
20848	Neural Networks from Scratch with Python Code and Math in Detail— I | by Towards AI Team | Towards AI	https://pub.towardsai.net/building-neural-networks-from-scratch-with-python-code-and-math-in-detail-i-536fae5d7bbf	NULL	NULL		NULL		2021
20849	Hypothesis Testing In Statistics with Examples | by Amit Chauhan | Mar, 2021 | Towards AI	https://pub.towardsai.net/hypothesis-testing-in-statistics-with-examples-844d698d99d5	NULL	NULL		NULL		2021
20850	Hypothesis Testing- Test of Mean, Variance, Proportion | by Indhumathy Chelliah | Mar, 2021 | Towards AI	https://pub.towardsai.net/hypothesis-testing-test-of-mean-variance-proportion-77ec2bfdd749	NULL	NULL		NULL		2021
20851	Complete List of Feature Engineering Methods: 40 Techniques, 10 Categories | by Michelangiolo Mazzeschi | Apr, 2021 | Towards AI	https://pub.towardsai.net/complete-list-of-feature-engineering-methods-40-techniques-10-categories-fda920883fad	NULL	NULL		NULL		2021
20852	Understand Bayes’ Theorem Through Visualization | by Satsawat Natakarnkitkul | Apr, 2021 | Towards AI	https://pub.towardsai.net/understand-bayes-theorem-through-visualization-8ec99a0577e4	NULL	NULL		NULL		2021
20853	A (Brief) Visual Guide Through the History of AI | by Jair Ribeiro | Apr, 2021 | Towards AI	https://pub.towardsai.net/a-brief-visual-guide-through-the-history-of-ai-c89f5e710516	NULL	NULL		NULL		2021
20854	Unraveling Coreference Resolution in NLP! – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/c-r	NULL	NULL		NULL		2021
20855	Generating Cool Storylines Using a T5 Transformer and Having Fun | by Vatsal Saglani | Apr, 2021 | Towards AI	https://pub.towardsai.net/generating-cool-storylines-using-a-t5-transformer-and-having-fun-4a79f6ab8adb	NULL	NULL		NULL		2021
20856	Approximate Nearest Neighbors on Elastic Search with Docker | by Marie Stephen Leo | Towards AI	https://pub.towardsai.net/approximate-nearest-neighbors-on-elastic-search-with-docker-15342153f22a	NULL	NULL		NULL		2021
20857	Similar Texts Search In Python With A Few Lines Of Code: An NLP Project | by Rashida Nasrin Sucky | Towards AI	https://pub.towardsai.net/similar-texts-search-in-python-with-a-few-lines-of-code-an-nlp-project-9ace2861d261	NULL	NULL		NULL		2021
20858	Recurrent Neural Networks for Dummies | by Daksh Trehan | Towards AI	https://medium.com/towards-artificial-intelligence/recurrent-neural-networks-for-dummies-8d2c4c725fbe	NULL	NULL		NULL		2021
20859	Text Classification with Simple Transformers | by Chetan Ambi | Towards AI	https://pub.towardsai.net/text-classification-with-simple-transformers-a29d13358135	NULL	NULL		NULL		2021
20860	BERT for QuestionAnswering – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/bert-for-questionanswering	NULL	NULL		NULL		2021
20861	ELECTRA: Pre-Training Text Encoders as Discriminators rather than Generators – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/electra-pre-training-text-encoders-as-discriminators-rather-than-generators	NULL	NULL		NULL		2021
20862	REALM: Retrieval-Augmented Language Model Pre-Training – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/realm-retrieval-augmented-language-model-pre-training	NULL	NULL		NULL		2021
20863	Word Mover’s Distance (WMD) Explained: An Effective Method of Document Classification – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/word-movers-distance-wmd-explained-an-effective-method-of-document-classification-89cb258401f4	NULL	NULL		NULL		2021
20865	WordEmbedding Natural Language Processing | Towards AI	https://pub.towardsai.net/introduction-to-word-embedding-5ba5cf97d296	NULL	NULL		NULL		2021
20866	Understanding LSTMs and GRUs. A perfect guide to Long Short term... | by Daksh Trehan | Towards AI	https://pub.towardsai.net/understanding-lstms-and-gru-s-b69749acaa35	NULL	NULL		NULL		2021
20867	Recurrent Neural Networks for Dummies | by Daksh Trehan | Towards AI	https://pub.towardsai.net/recurrent-neural-networks-for-dummies-8d2c4c725fbe	NULL	NULL		NULL		2021
20869	Feature Engineering for NLP – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/feature-engineering-for-nlp	NULL	NULL		NULL		2021
20870	Create your first Text Generator with LSTM in few minutes – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/deep-learning/create-your-first-text-generator-with-lstm-in-few-minutes	NULL	NULL		NULL		2021
20871	Summarizing News by Abstractive Approach – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/summarizing-news-by-abstractive-approach	NULL	NULL		NULL		2021
20872	Natural Language Processing: Concepts and Workflow – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/natural-language-processing-concepts-and-workflow-48083d2e3ce7	NULL	NULL		NULL		2021
20873	Character Level Text Generation. A Practical Example of Character Level... | by George Pipis | Towards AI	https://pub.towardsai.net/character-level-text-generation-63b06798f784	NULL	NULL		NULL		2021
20874	Sentiment Analysis (Opinion Mining) with Python - NLP Tutorial | Towards AI	https://pub.towardsai.net/sentiment-analysis-opinion-mining-with-python-nlp-tutorial-d1f173ca4e3c	NULL	NULL		NULL		2021
20880	AllenNLP the Hard Way – Part 5 - Building a Predictor – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-5/	NULL	NULL		NULL		2021
20881	AllenNLP the Hard Way – Part 6 - Debugging – Joe Barrow	https://jbarrow.ai/allennlp-the-hard-way-6/	NULL	NULL		NULL		2021
20882	Speech to Text with Wav2Vec 2.0. Speech to Text | by Dhilip Subramanian | Towards AI	https://pub.towardsai.net/speech-to-text-with-wav2vec-2-0-b21c1e1ad701	NULL	NULL		NULL		2021
20883	Sentiment Analysis with Logistic Regression – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/sentiment-analysis-with-logistic-regression	NULL	NULL		NULL		2021
20884	Natural Language Processing in Tensorflow – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/natural-language-processing-in-tensorflow	NULL	NULL		NULL		2021
20885	Natural Language Processing (NLP) – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/natural-language-processing-nlp	NULL	NULL		NULL		2021
20886	410 Deleted by author — Medium	https://medium.com/towards-artificial-intelligence/natural-language-processing-concepts-and-workflow-48083d2e3ce7	NULL	NULL		NULL		2021
20887	410 Deleted by author — Medium	https://medium.com/towards-artificial-intelligence/feature-engineering-for-nlp-76e42e16cc90	NULL	NULL		NULL		2021
20888	Tweet Topic Modeling: Using Twint to Scrape Tweets | by John Bica | Towards AI	https://medium.com/towards-artificial-intelligence/tweet-topic-modeling-using-twint-to-scrape-tweets-part-1-a9274e5199d2	NULL	NULL		NULL		2021
20889	Tweet Topic Modeling: Cleaning and Preprocessing Tweets | by John Bica | Towards AI	https://medium.com/towards-artificial-intelligence/tweet-topic-modeling-part-2-cleaning-and-preprocessing-tweets-e3a08a8b1770	NULL	NULL		NULL		2021
20890	Tweet Topic Modeling: Using Short Text Topic Modeling on Tweets | by John Bica | Towards AI	https://medium.com/towards-artificial-intelligence/tweet-topic-modeling-part-3-using-short-text-topic-modeling-on-tweets-bc969a827fef	NULL	NULL		NULL		2021
20891	Tweet Topic Modeling: Visualizing Topic Modeling Results with Plotly | by John Bica | Towards AI	https://pub.towardsai.net/tweet-topic-modeling-part-4-visualizing-topic-modeling-results-with-plotly-66d5dbaaf7fb	NULL	NULL		NULL		2021
20892	NLP — Zero to Hero with Python. A handbook for learning NLP with basics... | by Amit Chauhan | Towards AI	https://pub.towardsai.net/nlp-zero-to-hero-with-python-2df6fcebff6e	NULL	NULL		NULL		2021
20893	Perceptron Is Not SGD: A Better Interpretation Through Pseudogradients – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/machine-learning/perceptron-is-not-sgd-a-better-interpretation-through-pseudogradients	NULL	NULL		NULL		2021
20894	K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics | Towards AI	https://pub.towardsai.net/k-nearest-neighbors-knn-algorithm-tutorial-machine-learning-basics-ml-ec6756d3e0ac	NULL	NULL		NULL		2021
20895	Getting Meaning from Text: Self-attention Step-by-step Video – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/getting-meaning-from-text-self-attention-step-by-step-video	NULL	NULL		NULL		2021
20896	Five Must-learn Natural Language Processing Technologies | by Pouyan R. Fard | Towards AI	https://pub.towardsai.net/five-must-learn-natural-language-processing-technologies-4abff4e71d87	NULL	NULL		NULL		2021
20897	From Impossible to Irreplaceable: BERT in NLP | by Sahithya Swaminathan | Towards AI	https://pub.towardsai.net/from-impossible-to-irreplaceable-bert-in-nlp-d0dd39dfef9f	NULL	NULL		NULL		2021
20898	Understanding BERT – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/understanding-bert	NULL	NULL		NULL		2021
20899	Word-Level Text Generation. A practical example of Word Level Text... | by George Pipis | Towards AI	https://pub.towardsai.net/word-level-text-generation-dd61a5a0313d	NULL	NULL		NULL		2021
20900	Character Level Text Generation – Predictive Hacks	https://predictivehacks.com/character-based-text-generation/	NULL	NULL		NULL		2021
20901	Enterprise-grade NER with spaCy – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/enterprise-grade-ner-with-spacy	NULL	NULL		NULL		2021
20902	Answering Questions with Transformers – Predictive Hacks	https://predictivehacks.com/answering-questions-with-transformers/	NULL	NULL		NULL		2021
20903	Summarizing A.I. Articles using A.I. (What else??) | by Jair Ribeiro | Towards AI	https://pub.towardsai.net/summarizing-ai-articles-using-ai-what-else-c1c16a80dbb5	NULL	NULL		NULL		2021
20904	Natural Language Processing with spaCy — Steps and Examples | by Dhilip Subramanian | Towards AI	https://pub.towardsai.net/natural-language-processing-with-spacy-steps-and-examples-155618e84103	NULL	NULL		NULL		2021
20905	How Do Language Models Predict the Next Word????? – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/how-do-language-models-predict-the-next-word	NULL	NULL		NULL		2021
20906	NLP using Deep Learning Tutorials: Understand the Activation Function | by Abdelkader Rhouati | Towards AI	https://pub.towardsai.net/nlp-using-deep-learning-tutorials-understand-the-activation-function-8f62613e32d2	NULL	NULL		NULL		2021
20907	Fully Explained SVM Classification with Python | by Amit Chauhan | Towards AI	https://pub.towardsai.net/fully-explained-svm-classification-with-python-eda124997bcd	NULL	NULL		NULL		2021
20908	Topic Modeling with NMF in Python | by George Pipis | Towards AI	https://pub.towardsai.net/topic-modelling-with-nmf-in-python-194eb6ae04a5	NULL	NULL		NULL		2021
20909	Simple Text Summarizer Using Extractive Method | by Pushkara Sharma | Towards AI	https://pub.towardsai.net/simple-text-summarizer-using-extractive-method-849b65c2dc5a	NULL	NULL		NULL		2021
20910	Back Translation in Text Augmentation by nlpaug – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/nlp/back-translation-in-text-augmentation-by-nlpaug	NULL	NULL		NULL		2021
20911	Unlocking the Power of Text Analytics with Natural Language Processing | by Sharon Lim | Towards AI	https://pub.towardsai.net/unlock-the-power-of-text-analytics-with-natural-language-processing-2e6d83b35f99	NULL	NULL		NULL		2021
20912	Word Embeddings in High-Level. A High-Level Introduction to Word... | by George Pipis | Towards AI	https://pub.towardsai.net/word-embeddings-in-high-level-13b89d811370	NULL	NULL		NULL		2021
20913	Summarization with Simple Transformers | by Chetan Ambi | Towards AI	https://pub.towardsai.net/summarization-with-simple-transformers-14d158686faa	NULL	NULL		NULL		2021
20915	403 Forbidden	https://www.topbots.com/evaluation-metrics-for-dialog-systems/	NULL	NULL		NULL		2021
20916	Understanding Gradient Descent Optimization Algorithm - TurboFuture	https://turbofuture.com/misc/Understanding-Gradient-Descent	NULL	NULL		NULL		2021
20917	Reinforcement Learning in Python with Flappy Bird | by Anthony Li | May, 2021 | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-in-python-with-flappy-bird-37eb01a4e786	NULL	NULL		NULL		2021
20918	Better than BERT? BigBird, ConvBERT ... | by Suleiman Khan, Ph.D. | May, 2021 | Medium | Towards Data Science	https://towardsdatascience.com/advancing-over-bert-bigbird-convbert-dynabert-bca78a45629c	NULL	NULL		NULL		2021
20919	Neural Machine Translation using a Seq2Seq Architecture and Attention | Towards Data Science	https://towardsdatascience.com/neural-machine-translation-using-a-seq2seq-architecture-and-attention-eng-to-por-fe3cc4191175	NULL	NULL		NULL		2021
20920	Masked-Language Modeling With BERT | by James Briggs | May, 2021 | Towards Data Science	https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2c	NULL	NULL		NULL		2021
20921	A Primer On Gradient Descent | by Raj Sangani | May, 2021 | Towards Data Science	https://towardsdatascience.com/a-primer-on-gradient-descent-410f2d1a0eaa	NULL	NULL		NULL		2021
20922	Structured natural language processing with Pandas and spaCy | by Conor Mc. | May, 2021 | Towards Data Science	https://towardsdatascience.com/structured-natural-language-processing-with-pandas-and-spacy-7089e66d2b10	NULL	NULL		NULL		2021
20923	Understanding the Expressive Power of Neural Networks | by Wilson Wang | May, 2021 | Towards Data Science	https://towardsdatascience.com/understanding-the-expressive-power-of-neural-networks-d4918c9e98da	NULL	NULL		NULL		2021
20924	Why Graph Theory Is Cooler than You Thought | by Sid Arcidiacono | Towards Data Science	https://towardsdatascience.com/why-graph-theory-is-cooler-than-you-thought-4df73e2a4950	NULL	NULL		NULL		2021
21403	Mayur Jain – Medium	https://mayur-ds.medium.com/	NULL	NULL		NULL		2021
21404	GitHub - FranxYao/Deep-Generative-Models-for-Natural-Language-Processing: DGMs for NLP. A roadmap.	https://github.com/FranxYao/Deep-Generative-Models-for-Natural-Language-Processing	NULL	NULL		NULL		2021
21405	GitHub - louisfb01/start-machine-learning-in-2020: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-	https://github.com/louisfb01/start-machine-learning-in-2020	NULL	NULL		NULL		2021
21406	DSC Data Science Search Engine - Data Science Central	https://www.datasciencecentral.com/page/search?q=in+one+pictures	NULL	NULL		NULL		2021
21407	Comprehensive Repository of Data Science and ML Resources - Data Science Central	https://www.datasciencecentral.com/profiles/blogs/comprehensive-repository-of-data-science-and-ml-resources	NULL	NULL		NULL		2021
21408	Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.	https://www.notion.so/Machine-Learning-Bites-7c1675ecb587451e9caf793c68972276	NULL	NULL		NULL		2021
21415	Resources: CS 272 Statistical NLP (34770)	https://canvas.eee.uci.edu/courses/22668/pages/resources	NULL	NULL		NULL		2021
21416	180 Data Science and Machine Learning Projects with Python | by Aman Kharwal | Coders Camp | Medium	https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9	NULL	NULL		NULL		2021
21417	Free AI, ML, Deep Learning Video Lectures | MarkTechPost	https://www.marktechpost.com/free-ai-ml-deep-learning-video-lectures/	NULL	NULL		NULL		2021
21418	Entire Computer Science Curriculum in 1000 YouTube Videos | Laconicml	https://laconicml.com/computer-science-curriculum-youtube-videos/	NULL	NULL		NULL		2021
21419	GitHub - ml-tooling/best-of-ml-python: ???? A ranked list of awesome machine learning Python libraries. Updated weekly.	https://github.com/ml-tooling/best-of-ml-python	NULL	NULL		NULL		2021
21420	lib4dev	http://www.lib4dev.in/info/niderhoff/nlp-datasets/54647141	NULL	NULL		NULL		2021
21421	Quantum Stat – Medium	https://quantumstat.medium.com/	NULL	NULL		NULL		2021
21461	GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources	https://github.com/ujjwalkarn/Machine-Learning-Tutorials#nrl	NULL	NULL		NULL		2021
21462	NLP Guide | Open guide to natural language processing	https://nlpguide.github.io/	NULL	NULL		NULL		2021
21463	PRIMO.ai - PRIMO.ai	http://primo.ai/index.php?title=PRIMO.ai	NULL	NULL		NULL		2021
21464	GitHub - ugurkanates/awesome-real-world-rl: Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.	https://github.com/ugurkanates/awesome-real-world-rl	NULL	NULL		NULL		2021
21465	GitHub - tomohideshibata/BERT-related-papers: BERT-related papers	https://github.com/tomohideshibata/BERT-related-papers	NULL	NULL		NULL		2021
21468	GitHub - mihail911/speech-language-processing: A curated list of speech and natural language processing resources	https://github.com/mihail911/speech-language-processing	NULL	NULL		NULL		2021
21469	GitHub - dragomirradev/nlp-roadmap: ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP	https://github.com/dragomirradev/nlp-roadmap	NULL	NULL		NULL		2021
21470	GitHub - costezki/awesome-nlprojects: List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist	https://github.com/costezki/awesome-nlprojects	NULL	NULL		NULL		2021
21471	GitHub - omarsar/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP)	https://github.com/omarsar/awesome-nlp	NULL	NULL		NULL		2021
21472	GitHub - jason718/awesome-self-supervised-learning: A curated list of awesome self-supervised methods	https://github.com/jason718/awesome-self-supervised-learning	NULL	NULL		NULL		2021
21473	Machine Learning Tutorials	https://chrisalbon.com/	NULL	NULL		NULL		2021
21474	Roma Patel	http://cs.brown.edu/people/rpatel59/blog/nlp-resources.html	NULL	NULL		NULL		2021
21475	Become a Data Engineer with this Complete List of Resources	https://www.analyticsvidhya.com/blog/2018/11/data-engineer-comprehensive-list-resources-get-started/	NULL	NULL		NULL		2018
21476	MONTRE?AL.AI | Montre?al Artificial Intelligence - MONTRE?AL.AI | Montre?al Artificial Intelligence	https://montrealartificialintelligence.com/academy/	NULL	NULL		NULL		2020
21477	awesome-machine-learning/books.md at master · josephmisiti/awesome-machine-learning · GitHub	https://github.com/josephmisiti/awesome-machine-learning/raw/master/books.md	NULL	NULL		NULL		2021
21478	GitHub - ritchieng/deep-learning-wizard: Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.	https://github.com/ritchieng/deep-learning-wizard	NULL	NULL		NULL		2021
21480	ML Resources	https://sgfin.github.io/learning-resources/	NULL	NULL		NULL		2021
21483	GitHub - benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations.	https://github.com/benedekrozemberczki/awesome-decision-tree-papers	NULL	NULL		NULL		2021
21484	GitHub - DeepGraphLearning/LiteratureDL4Graph: A comprehensive collection of recent papers on graph deep learning	https://github.com/DeepGraphLearning/LiteratureDL4Graph	NULL	NULL		NULL		2021
21485	CS 11-747: Neural Networks for NLP	http://phontron.com/class/nn4nlp2019/schedule.html	NULL	NULL		NULL		2021
21487	Jesus Rodriguez – Medium	https://towardsdatascience.com/@jrodthoughts	NULL	NULL		NULL		2021
21488	Curated list of research paper summaries by subfield | CommonLounge	https://www.commonlounge.com/discussion/2d1b8818ded744e2a934a8971e5a91cf	NULL	NULL		NULL		2021
21489	Pranav Dar, Author at Analytics Vidhya - Page 11 of 30	https://www.analyticsvidhya.com/blog/author/datascience22/page/11/	NULL	NULL		NULL		2018
21490	GitHub - google-research/google-research: Google Research	https://github.com/google-research/google-research	NULL	NULL		NULL		2021
21491	GitHub - ageron/tf2_course: Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course	https://github.com/ageron/tf2_course	NULL	NULL		NULL		2021
21492	  Page not found   	https://www.seas.upenn.edu/~romap/nlp-resources.html	NULL	NULL		NULL		2021
21493	403 Forbidden	https://www.kdnuggets.com/2018/12/finlayson-machine-learning-resources.html	NULL	NULL		NULL		2021
21494	Page not found · GitHub · GitHub	https://github.com/GokuMohandas/practicalAI	NULL	NULL		NULL		2021
21495	Best resources for Deep learners, Machine learning , artificial intelligence, programming, interviews, jobs.. | by purnasai gudikandula | Medium	https://medium.com/@purnasaigudikandula/best-resources-for-deep-learners-machine-learning-artificial-intelligence-programming-be11c568b2fe	NULL	NULL		NULL		2021
21496	GitHub - Separius/awesome-sentence-embedding: A curated list of pretrained sentence and word embedding models	https://github.com/Separius/awesome-sentence-embedding	NULL	NULL		NULL		2021
21497	GitHub - zziz/pwc: Papers with code. Sorted by stars. Updated weekly.	https://github.com/zziz/pwc	NULL	NULL		NULL		2021
21499	TensorboardX, NLP Best Practices, Cirq, Subjectivity in AI, MojiTalk, Seq-to-Seq Debugging, Data Portability,... | by elvis | dair.ai | Medium	https://medium.com/dair-ai/tensorboardx-nlp-best-practices-cirq-subjectivity-in-ai-emojitalk-seq-to-seq-debugging-data-9e7c13215aa8	NULL	NULL		NULL		2021
21500	????AI Diary #4. Topics in this issue include deep... | by elvis | dair.ai | Medium	https://medium.com/dair-ai/ai-diary-4-2f922328a1f9	NULL	NULL		NULL		2021
21501	PyTorch Prerequisites - Syllabus for Neural Network Programming Course - deeplizard	http://deeplizard.com/learn/video/v5cngxo4mIg	NULL	NULL		NULL		2021
21503	GitHub - MaxwellRebo/awesome-2vec: Curated list of 2vec-type embedding models	https://github.com/MaxwellRebo/awesome-2vec	NULL	NULL		NULL		2021
21504	GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.	https://github.com/ChristosChristofidis/awesome-deep-learning	NULL	NULL		NULL		2021
21506	GitHub - gauravssnl/awesome-python-modules: Awesome list of Python modules repositories & APIs	https://github.com/gauravssnl/awesome-python-modules	NULL	NULL		NULL		2021
21507	403 Forbidden	https://www.kdnuggets.com/2018/05/50-useful-machine-learning-prediction-apis-2018-edition.html	NULL	NULL		NULL		2021
21509	Run Data Science & Machine Learning Code Online | Kaggle	https://www.kaggle.com/kernels	NULL	NULL		NULL		2021
21510	GitHub - Tian312/awesome-text-summarization: A curated list of resources dedicated to text summarization	https://github.com/Tian312/awesome-text-summarization	NULL	NULL		NULL		2021
21511	Attention Required! | Cloudflare	https://www.datacamp.com/community/tutorials?page=4	NULL	NULL		NULL		2021
21512	403 Forbidden	https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/	NULL	NULL		NULL		2021
21515	NLP News | Revue	http://newsletter.ruder.io/	NULL	NULL		NULL		2021
21516	Ultimate following list to keep updated in artificial intelligence | by Alexandr Honchar | Medium	https://medium.com/@alexrachnog/ultimate-following-list-to-keep-updated-in-artificial-intelligence-32776ffcd079	NULL	NULL		NULL		2021
21517	GitHub - niderhoff/nlp-datasets: Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)	https://github.com/niderhoff/nlp-datasets	NULL	NULL		NULL		2021
21518	Machine Learning Mastery	https://machinelearningmastery.com/author/jasonb/	NULL	NULL		NULL		2021
21519	GitHub - keon/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP)	https://github.com/keon/awesome-nlp	NULL	NULL		NULL		2021
21520	GitHub - OpenMined/private-ai-resources: SOON TO BE DEPRECATED - Private machine learning progress	https://github.com/OpenMined/awesome-ai-privacy	NULL	NULL		NULL		2021
21521	GitHub - m2dsupsdlclass/lectures-labs: Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris	https://github.com/m2dsupsdlclass/lectures-labs	NULL	NULL		NULL		2021
21522	GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets.	https://github.com/awesomedata/awesome-public-datasets	NULL	NULL		NULL		2021
21523	Machine Learning Weekly Review No8 | by Machine Learning Digest | ML Review	https://medium.com/mlreview/machine-learning-weekly-review-8-ccfe1354f1f3	NULL	NULL		NULL		2021
21524	GitHub - Kyubyong/nlp_tasks: Natural Language Processing Tasks and References	https://github.com/Kyubyong/nlp_tasks?mlreview	NULL	NULL		NULL		2021
21526	GitHub - norvig/pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.	https://github.com/norvig/pytudes#pytudes-index-of-jupyter-ipython-notebooks	NULL	NULL		NULL		2021
21527	A gallery of interesting Jupyter Notebooks · jupyter/jupyter Wiki · GitHub	https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks	NULL	NULL		NULL		2021
21528	NLTK IPython Notebook · GitHub	https://gist.github.com/MHenderson/5857818	NULL	NULL		NULL		2021
21529	ipython-notebooks/NLTK.ipynb at master · jdwittenauer/ipython-notebooks · GitHub	https://github.com/jdwittenauer/ipython-notebooks/raw/master/notebooks/libraries/NLTK.ipynb	NULL	NULL		NULL		2021
21531	GitHub - nashory/gans-awesome-applications: Curated list of awesome GAN applications and demo	https://github.com/nashory/gans-awesome-applications?imm_mid=0f787c&cmp=em-data-na-na-newsltr_ai_20171030	NULL	NULL		NULL		2021
21532	GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.	https://github.com/josephmisiti/awesome-machine-learning	NULL	NULL		NULL		2021
21533	403 Forbidden	https://zhuanlan.zhihu.com/p/25138563	NULL	NULL		NULL		2021
21534	The Mathematics of Machine Learning - Data Science Central	http://www.datasciencecentral.com/profiles/blogs/the-mathematics-of-machine-learning	NULL	NULL		NULL		2021
21535	403 Forbidden	http://aiplaybook.a16z.com/docs/reference/links	NULL	NULL		NULL		2021
21536	Nathan.ai issue #21, Part 1/2: July-October 2017 | Revue	https://www.getrevue.co/profile/nathanbenaich/issues/nathan-ai-issue-21-part-1-2-july-october-2017-66346	NULL	NULL		NULL		2017
21537	404 · Page not found	http://aidl.io/issues/1#start	NULL	NULL		NULL		2021
21539	Nathan.ai newsletter issue #20: May-July 2017 | Revue	https://www.getrevue.co/profile/nathanbenaich/issues/nathan-ai-newsletter-issue-20-may-july-2017-57260	NULL	NULL		NULL		2017
21542	27 Great Articles About Machine Learning Algorithms - Data Science Central	http://www.datasciencecentral.com/profiles/blogs/27-great-articles-about-machine-learning-algorithms	NULL	NULL		NULL		2021
21543	Deep Hunt — Issue #43. It was a relatively calmer week, with... | by Avinash Hindupur | Deep Hunt	https://deephunt.in/deep-hunt-issue-44-9b15f1e39de7	NULL	NULL		NULL		2021
21544	Page not found · GitHub · GitHub	https://github.com/handong1587/handong1587.github.io/raw/master/_posts/deep_learning/2015-10-09-image-generation.md	NULL	NULL		NULL		2021
21545	handong1587.github.io/2015-10-09-fun-with-deep-learning.md at master · handong1587/handong1587.github.io · GitHub	https://github.com/handong1587/handong1587.github.io/raw/master/_posts/deep_learning/2015-10-09-fun-with-deep-learning.md	NULL	NULL		NULL		2021
21546	Page not found · GitHub · GitHub	https://github.com/handong1587/handong1587.github.io/raw/master/_posts/deep_learning/2015-10-09-generative-models.md	NULL	NULL		NULL		2021
21547	GitHub - kashyap32/AI-resources: Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning	https://github.com/kashyap32/AI-resources	NULL	NULL		NULL		2021
21548	GitHub - adeshpande3/Machine-Learning-Links-And-Lessons-Learned: List of all the lessons learned, best practices, and links from my time studying machine learning	https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned	NULL	NULL		NULL		2021
21549	The Wild Week in AI | Revue	https://www.getrevue.co/profile/wildml	NULL	NULL		NULL		2018
21550	Archives - AI Weekly — AI News &  Leading Newsletter on Deep Learning & Artificial Intelligence	http://aiweekly.co/issues	NULL	NULL		NULL		2021
21551	Data Science Weekly Newsletter Archive | Data Science Weekly	https://www.datascienceweekly.org/newsletters	NULL	NULL		NULL		2021
21552		http://mlweekly.com/issues	NULL	NULL		NULL		2021
21553	Import AI	http://us13.campaign-archive1.com/home/?u=67bd06787e84d73db24fb0aa5&id=6c9d98ff2c	NULL	NULL		NULL		2021
21554	Deep learning, from novice to expert, self-paced | CommonLounge	https://www.commonlounge.com/discussion/52dafc0a1f3148acabb4645604e0dfae	NULL	NULL		NULL		2021
21555	Sign in - Google Accounts	https://plus.google.com/u/0/communities/112866381580457264725	NULL	NULL		NULL		2021
21556	Newsletter – Deep Hunt	https://deephunt.in/tagged/newsletter	NULL	NULL		NULL		2018
21557	Deep learning	https://www.facebook.com/groups/DeepLearnng/	NULL	NULL		NULL		2021
21558	The Exponential View | Revue	https://www.getrevue.co/profile/azeem	NULL	NULL		NULL		2017
21559	www.gitxiv.com	http://www.gitxiv.com/	NULL	NULL		NULL		2021
21560	McKinsey's State Of Machine Learning And AI, 2017	https://www.forbes.com/sites/louiscolumbus/2017/07/09/mckinseys-state-of-machine-learning-and-ai-2017/#19df3a1675b6	NULL	NULL		NULL		2021
21561	Artificial Intelligence tools you can use today — for personal use	http://swayammittal65.blogspot.com/2017/05/artificial-intelligence-tools-you-can.html	NULL	NULL		NULL		2017
21562	Deep Learning Gallery - a curated list of awesome deep learning projects	http://deeplearninggallery.com/	NULL	NULL		NULL		2021
21564	ipython-wiki/A-gallery-of-interesting-IPython-Notebooks.md at master · Carreau/ipython-wiki · GitHub	https://github.com/Carreau/ipython-wiki/raw/master/A-gallery-of-interesting-IPython-Notebooks.md	NULL	NULL		NULL		2021
21565	Datasets — ML Glossary  documentation	http://ml-cheatsheet.readthedocs.io/en/latest/datasets.html	NULL	NULL		NULL		2021
21570	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/Deep-Learning-Research-Review-Week-3-Natural-Language-Processing	NULL	NULL		NULL		2021
21578		http://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf	NULL	NULL		NULL		2021
21582	Page Not Found	https://www.coursera.org/learn/calculus1	NULL	NULL		NULL		2021
21592	Linear Algebra | Khan Academy	https://www.khanacademy.org/math/linear-algebra	NULL	NULL		NULL		2021
21595	The Glowing Python: SVD decomposition with numpy	http://glowingpython.blogspot.com/2011/06/svd-decomposition-with-numpy.html	NULL	NULL		NULL		2021
21596	A Radial Mind: SVD in Python	http://radialmind.blogspot.com/2009/11/svd-in-python.html	NULL	NULL		NULL		2021
21599		http://bl.ocks.org/ktaneishi/9499896#pca.js	NULL	NULL		NULL		2021
21600	Tutorial KDD '09	http://www.cs.cmu.edu/~christos/TALKS/09-KDD-tutorial	NULL	NULL		NULL		2021
21601	The Glowing Python: Latent Semantic Analysis with Term-Document matrix	http://glowingpython.blogspot.com/2011/05/latent-semantic-analysis-with-term.html	NULL	NULL		NULL		2021
21602	The Glowing Python: Principal Component Analysis with numpy	http://glowingpython.blogspot.com/2011/07/principal-component-analysis-with-numpy.html	NULL	NULL		NULL		2021
21603	The Glowing Python: Eigenvectors animated gif	http://glowingpython.blogspot.com/2011/09/eigenvectors-animated-gif.html	NULL	NULL		NULL		2021
21617	Python/scikit-learn: Calculating TF/IDF on How I met your mother transcripts ·  Mark Needham	http://www.markhneedham.com/blog/2015/02/15/pythonscikit-learn-calculating-tfidf-on-how-i-met-your-mother-transcripts/	NULL	NULL		NULL		2015
21627	? Quantitative ?ourney | Not Found	http://outlace.com/Beginner-Tutorial-Theano/	NULL	NULL		NULL		2021
21629		https://github.com/fchollet/keras - Extension of Theano, meant specifically for ANN work	NULL	NULL		NULL		2021
21630	Keras: the Python deep learning API	https://keras.io/	NULL	NULL		NULL		2021
21633	Page not found · GitHub · GitHub	https://github.com/fchollet/keras/raw/master/examples/imdb_lstm.py	NULL	NULL		NULL		2021
21644	The Glowing Python: The Perceptron	http://glowingpython.blogspot.com/2011/10/perceptron.html	NULL	NULL		NULL		2021
21645	Radim R?ehu?r?ek : Page not found	http://radimrehurek.com/gensim/models/word2vec.html - Gensim implementation of Word2Vec	NULL	NULL		NULL		2021
21648	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/p/word2vec/ - Google implementation of word2vec	NULL	NULL		NULL		2021
21649	Page not found · GitHub Pages	http://alexminnaar.com/word2vec-tutorial-part-i-the-skip-gram-model.html - Word2Vec	NULL	NULL		NULL		2021
21650	Page not found | RARE Technologies	http://rare-technologies.com/word2vec-tutorial/ - Gensim Word2Vec tutorial (training, loading, using, etc.)	NULL	NULL		NULL		2021
21653	fastText - Facebook Research	https://research.facebook.com/blog/fasttext/	NULL	NULL		NULL		2021
21655	University of Michigan: Cannot Access File ( 403 )	http://www-personal.umich.edu/~ronxin/pdf/w2vexp.pdf - Detailed write-up explaining Word2Vec	NULL	NULL		NULL		2021
21656	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/p/word2vec/	NULL	NULL		NULL		2021
21658	403 Forbidden	http://u.cs.biu.ac.il/~nlp/resources/downloads/word2parvec/	NULL	NULL		NULL		2021
21659	404 Error | Deeplearning4j	https://deeplearning4j.org/word2vec.html	NULL	NULL		NULL		2021
21666	Long short-term memory - Wikipedia article about LSTMs - Wikipedia	https://en.wikipedia.org/wiki/Long_short-term_memory - Wikipedia article about LSTMs	NULL	NULL		NULL		2021
21674	404 Error | Deeplearning4j	https://deeplearning4j.org/lstm.html	NULL	NULL		NULL		2021
21683	metaoptimize.com | 523: Origin is unreachable	http://metaoptimize.com/projects/wordreprs/	NULL	NULL		NULL		2021
21684	404 Error | Deeplearning4j	http://deeplearning4j.org/eigenvector	NULL	NULL		NULL		2021
21697	Word2Vec  |  TensorFlow Core	http://www.tensorflow.org/tutorials/word2vec/index.md	NULL	NULL		NULL		2021
21698	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/r0.11/tutorials/word2vec/index.html	NULL	NULL		NULL		2021
21700	Ajit Rajasekharan's answer to How does word2vec work? Can someone walk through a specific example? - Quora	https://www.quora.com/How-does-word2vec-work/answer/Ajit-Rajasekharan	NULL	NULL		NULL		2021
21706	404 Not Found	http://cl.naist.jp/~kevinduh/a/deep2014/	NULL	NULL		NULL		2021
21708	A Course in Machine Learning	http://ciml.info/	NULL	NULL		NULL		2021
21709	Deep Learning for NLP - NAACL 2013 Tutorial	http://nlp.stanford.edu/courses/NAACL2013/	NULL	NULL		NULL		2021
21710	Hugo Larochelle	http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html	NULL	NULL		NULL		2021
21711	Speech and Language Processing	http://web.stanford.edu/~jurafsky/slp3/	NULL	NULL		NULL		2021
21713	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/	NULL	NULL		NULL		2021
21714	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap1.html	NULL	NULL		NULL		2021
21715	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap2.html	NULL	NULL		NULL		2021
21716	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap3.html	NULL	NULL		NULL		2021
21717	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap4.html	NULL	NULL		NULL		2021
21718	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap5.html	NULL	NULL		NULL		2021
21719	Neural networks and deep learning	http://neuralnetworksanddeeplearning.com/chap6.html	NULL	NULL		NULL		2021
21720	GitHub - neubig/nlptutorial: A Tutorial about Programming for Natural Language Processing	https://github.com/neubig/nlptutorial	NULL	NULL		NULL		2021
21724	Google AI Blog: Text summarization with TensorFlow	https://research.googleblog.com/2016/08/text-summarization-with-tensorflow.html?m=1	NULL	NULL		NULL		2021
21725	Text Summarization with Gensim	http://rare-technologies.com/text-summarization-with-gensim/	NULL	NULL		NULL		2015
21727	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/textsum	NULL	NULL		NULL		2021
21730	blocks-examples/machine_translation at master · mila-iqia/blocks-examples · GitHub	https://github.com/mila-udem/blocks-examples/tree/master/machine_translation	NULL	NULL		NULL		2021
21735	Google AI Blog: A Neural Network for Machine Translation, at Production Scale	https://research.googleblog.com/2016/09/a-neural-network-for-machine.html	NULL	NULL		NULL		2021
21739	Google AI Blog: Zero-Shot Translation with Google’s Multilingual Neural Machine Translation System	https://research.googleblog.com/2016/11/zero-shot-translation-with-googles.html	NULL	NULL		NULL		2021
21741	SimpleNLG · GitHub	https://github.com/simplenlg	NULL	NULL		NULL		2021
21742	nltk_contrib/nltk_contrib/fuf at master · nltk/nltk_contrib · GitHub	https://github.com/nltk/nltk_contrib/tree/master/nltk_contrib/fuf	NULL	NULL		NULL		2021
21743		https://aclweb.org/aclwiki/index.php?title=Downloadable_NLG_systems	NULL	NULL		NULL		2021
21751	Deniz Yuret's Homepage: Parsing with word vectors	http://www.denizyuret.com/2015/07/parsing-with-word-vectors.html	NULL	NULL		NULL		2021
21752	Deniz Yuret's Homepage: Parsing the Penn Treebank in 60 seconds	http://www.denizyuret.com/2015/03/parallelizing-parser.html	NULL	NULL		NULL		2021
21753	403 Forbidden	http://www.kdnuggets.com/2015/12/natural-language-processing-101.html	NULL	NULL		NULL		2021
21754	Google launches new API to help you parse natural language – TechCrunch	https://techcrunch.com/2016/07/20/google-launches-new-api-to-help-you-parse-natural-language/	NULL	NULL		NULL		2021
21755	Heavy Metal and Natural Language Processing - Part 1	http://www.degeneratestate.org/posts/2016/Apr/20/heavy-metal-and-natural-language-processing-part-1/	NULL	NULL		NULL		2021
21756	Heavy Metal and Natural Language Processing - Part 2	http://www.degeneratestate.org/posts/2016/Sep/12/heavy-metal-and-natural-language-processing-part-2/	NULL	NULL		NULL		2021
21757	404 not found	http://metamind.io/research/multiple-different-natural-language-processing-tasks-in-a-single-deep-model/	NULL	NULL		NULL		2021
21758	Natural language processing: What would Shakespeare say? –                                  Giga thoughts ...	https://gigadom.wordpress.com/2015/10/02/natural-language-processing-what-would-shakespeare-say/	NULL	NULL		NULL		2015
21759	NLTK Book	http://www.nltk.org/book/	NULL	NULL		NULL		2021
21761	Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences - YouTube	https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL	NULL	NULL		NULL		2021
21763	The Glowing Python: Combining Scikit-Learn and NTLK	http://glowingpython.blogspot.com/2013/07/combining-scikit-learn-and-ntlk.html	NULL	NULL		NULL		2021
21764	Python Programming Tutorials	https://pythonprogramming.net/image-recognition-python/	NULL	NULL		NULL		2021
21768	What does support vector machine (SVM) mean in layman's terms? - Quora	https://www.quora.com/What-does-support-vector-machine-SVM-mean-in-laymans-terms	NULL	NULL		NULL		2021
21769	How does deep learning work and how is it different from normal neural networks applied with SVM? How does one go about starting to understand them (papers/blogs/articles)? - Quora	https://www.quora.com/How-does-deep-learning-work-and-how-is-it-different-from-normal-neural-networks-and-or-SVM	NULL	NULL		NULL		2021
21771	LIBSVM -- A Library for Support Vector Machines	https://www.csie.ntu.edu.tw/%7Ecjlin/libsvm/	NULL	NULL		NULL		2021
21772	CRF++ -  Browse /crfpp/0.54 at SourceForge.net	http://sourceforge.net/projects/crfpp/files/crfpp/0.54/	NULL	NULL		NULL		2021
21775	deep learning - What is the difference between convolutional neural networks, restricted Boltzmann machines, and auto-encoders? - Cross Validated	http://stats.stackexchange.com/questions/114385/what-is-the-difference-between-convolutional-neural-networks-restricted-boltzma	NULL	NULL		NULL		2014
21785	403 Forbidden	http://www.kdnuggets.com/2016/09/beginners-guide-understanding-convolutional-neural-networks-part-1.html	NULL	NULL		NULL		2021
21786	403 Forbidden	http://www.kdnuggets.com/2016/09/beginners-guide-understanding-convolutional-neural-networks-part-2.html	NULL	NULL		NULL		2021
21792	3D Visualization of a Convolutional Neural Network	http://scs.ryerson.ca/~aharley/vis/conv/	NULL	NULL		NULL		2021
21795	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/	NULL	NULL		NULL		2021
21796	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/	NULL	NULL		NULL		2021
21797	Index of /mlap/resources/cnnhlights	http://homepages.inf.ed.ac.uk/mlap/resources/cnnhlights/	NULL	NULL		NULL		2021
21798	Convolutional Neural Networks (CNN) Introduction – Algobeans	https://algobeans.com/2016/01/26/introduction-to-convolutional-neural-network/	NULL	NULL		NULL		2016
21814	Recurrent Neural Network Language Models	http://www.rnnlm.org/	NULL	NULL		NULL		2021
21822	404  |  Page Not Found  |  TensorFlow	http://www.tensorflow.org/tutorials/seq2seq/index.md	NULL	NULL		NULL		2021
21824	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/r0.12/tutorials/seq2seq/index.html#sequence-to-sequence-models	NULL	NULL		NULL		2021
21828	The Glowing Python: K- means clustering with scipy	http://glowingpython.blogspot.com/2012/04/k-means-clustering-with-scipy.html	NULL	NULL		NULL		2021
21830	Visualizing K-Means Clustering	http://stanford.edu/class/ee103/visualizations/kmeans/kmeans.html	NULL	NULL		NULL		2021
21831	The Glowing Python: K-Nearest Neighbour Classifier	http://glowingpython.blogspot.com/2012/04/k-nearest-neighbour-classifier.html	NULL	NULL		NULL		2021
21832	The Glowing Python: k-nearest neighbor search	http://glowingpython.blogspot.com/2012/04/k-nearest-neighbor-search.html	NULL	NULL		NULL		2021
21836	The Glowing Python: First steps with networkx	http://glowingpython.blogspot.com/2012/11/first-steps-with-networx.html	NULL	NULL		NULL		2021
21837	The Glowing Python: Betweenness Centrality	http://glowingpython.blogspot.com/2013/02/betweenness-centrality.html	NULL	NULL		NULL		2021
21840	The Glowing Python: Four ways to compute the Google Pagerank	http://glowingpython.blogspot.com/2011/05/four-ways-to-compute-google-pagerank.html	NULL	NULL		NULL		2021
21841	Is there a simple explanation of the Louvain Method of community detection? - Quora	https://www.quora.com/Is-there-a-simple-explanation-of-the-Louvain-Method-of-community-detection	NULL	NULL		NULL		2021
21853	404 Not Found	http://demo.ark.cs.cmu.edu/parse	NULL	NULL		NULL		2021
21854	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/syntaxnet/syntaxnet/models/parsey_mcparseface	NULL	NULL		NULL		2021
21855	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/syntaxnet	NULL	NULL		NULL		2021
21856	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/raw/master/syntaxnet/universal.md	NULL	NULL		NULL		2021
21857	Google AI Blog: Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source	https://research.googleblog.com/2016/05/announcing-syntaxnet-worlds-most.html	NULL	NULL		NULL		2021
21858	Google AI Blog: Building resources to syntactically parse the web	https://research.googleblog.com/2011/03/building-resources-to-syntactically.html	NULL	NULL		NULL		2021
21864	Jupyter Notebook Viewer	http://nbviewer.ipython.org/github/wcmac/sippycup/blob/master/sippycup-unit-1.ipynb	NULL	NULL		NULL		2021
21865	Jupyter Notebook Viewer	http://nbviewer.ipython.org/github/wcmac/sippycup/blob/master/sippycup-unit-2.ipynb	NULL	NULL		NULL		2021
21866	Jupyter Notebook Viewer	http://nbviewer.ipython.org/github/wcmac/sippycup/blob/master/sippycup-unit-3.ipynb	NULL	NULL		NULL		2021
21867	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/cgpotts/cs224u/blob/master/semparse_homework.ipynb	NULL	NULL		NULL		2021
21873	Not Acceptable!	http://www.dipanjandas.com/files/reddy.etal.2016.pdf	NULL	NULL		NULL		2021
21883	The Glowing Python: Linear regression with Numpy	http://glowingpython.blogspot.com/2012/03/linear-regression-with-numpy.html	NULL	NULL		NULL		2021
21888	The Glowing Python: Monte Carlo estimate for pi with numpy	http://glowingpython.blogspot.com/2012/01/monte-carlo-estimate-for-pi-with-numpy.html	NULL	NULL		NULL		2021
21893		https://www.opendatascience.com/blog/attention-and-memory-in-deep-learning-and-nlp/	NULL	NULL		NULL		2021
21896	David M. Blei	http://www.cs.columbia.edu/~blei/topicmodeling_software.html	NULL	NULL		NULL		2021
21900	CS224u - Distributed word representations: dimensionality reduction - YouTube	https://www.youtube.com/watch?v=qSA9v7ZkC7Q&feature=youtu.be	NULL	NULL		NULL		2021
21901	Deep Learning - Ju?rgen Schmidhuber - #1 - YouTube	https://www.youtube.com/watch?v=JSNZA8jVcm4	NULL	NULL		NULL		2021
21902	Deep Learning: The Theoretician's Nightmare or Paradise? (LeCun, NYU, August 2012) - YouTube	https://www.youtube.com/watch?v=HrMU1GgyxL8	NULL	NULL		NULL		2021
21903	Deep Learning: Lecture 1 - YouTube	https://www.youtube.com/watch?v=DLItuVVKJOw	NULL	NULL		NULL		2021
21908	404 Error | Deeplearning4j	http://deeplearning4j.org/thoughtvectors	NULL	NULL		NULL		2021
21910	We're sorry, but something went wrong (500)	http://sentiment.christopherpotts.net/ - Tutorial on deep sentiment analysis	NULL	NULL		NULL		2021
21912	404 Not Found	http://nlp.stanford.edu/sentiment/ - dataset (and code) for Richard Socher’s sentiment system	NULL	NULL		NULL		2021
21914	Sentiment140 - A Twitter Sentiment Analysis Tool	http://sentiment140.com	NULL	NULL		NULL		2021
21915	Stanford University CS224d: Deep Learning for Natural Language Processing	http://cs224d.stanford.edu/syllabus.html	NULL	NULL		NULL		2021
21916		http://ace.cs.ohiou.edu/~razvan/courses/dl6890/index.html	NULL	NULL		NULL		2021
21918	CS224W | Home	http://web.stanford.edu/class/cs224w/	NULL	NULL		NULL		2021
21919		http://rll.berkeley.edu/deeprlcourse/	NULL	NULL		NULL		2021
21920	GitHub - thejakeyboy/umich-eecs545-lectures: This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.	https://github.com/thejakeyboy/umich-eecs545-lectures	NULL	NULL		NULL		2021
21921	GitHub - lmarti/machine-learning: A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.	https://github.com/lmarti/machine-learning	NULL	NULL		NULL		2021
21922	Udacity	https://classroom.udacity.com/courses/ud730	NULL	NULL		NULL		2021
21923	Lecture Videos | Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWare	https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/	NULL	NULL		NULL		2021
21924	Fall 2015 STAT 946: Deep Learning - YouTube	https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE	NULL	NULL		NULL		2021
21925	Deep Learning - Informatics and Computational Sciences (2015-2016) - Colle?ge de France - 12 February 2016 14:30	https://www.college-de-france.fr/site/en-yann-lecun/course-2015-2016.htm	NULL	NULL		NULL		2021
21926	Computational Statistics in Python — Computational Statistics in Python 0.1 documentation	https://people.duke.edu/~ccc14/sta-663/	NULL	NULL		NULL		2021
21927	CS234: Reinforcement Learning Winter 2021	https://web.stanford.edu/class/cs234/	NULL	NULL		NULL		2021
21928	CS224U: Natural Language Understanding - Spring 2021	http://web.stanford.edu/class/cs224u	NULL	NULL		NULL		2021
21929	Stanford University CS224d: Deep Learning for Natural Language Processing	http://web.stanford.edu/class/cs224d/	NULL	NULL		NULL		2021
21930	Machine Learning - complete course notes	http://www.holehouse.org/mlclass/	NULL	NULL		NULL		2021
21931	Stanford University: Tensorflow for Deep Learning Research	http://web.stanford.edu/class/cs20si/index.html	NULL	NULL		NULL		2021
21932	CS331B	http://web.stanford.edu/class/cs331b/	NULL	NULL		NULL		2021
21933	TTIC 31230: Fundamentals of Deep Learning	http://ttic.uchicago.edu/~dmcallester/DeepClass/class.html	NULL	NULL		NULL		2021
21934	What are the best resources to learn about deep learning? - Quora	https://www.quora.com/What-are-the-best-resources-to-learn-about-deep-learning	NULL	NULL		NULL		2021
21935	What are some good resources to learn about deep learning in Natural Language Processing? - Quora	https://www.quora.com/What-are-some-good-resources-to-learn-about-deep-learning-in-Natural-Language-Processing	NULL	NULL		NULL		2021
21937	Calculus on Computational Graphs: Backpropagation -- colah's blog	http://colah.github.io/posts/2015-08-Backprop/	NULL	NULL		NULL		2021
21938	Simple Back-propagation Neural Network in Python  source code « Python recipes « ActiveState Code	http://code.activestate.com/recipes/578148-simple-back-propagation-neural-network-in-python-s/	NULL	NULL		NULL		2021
21941	403 Forbidden	http://www.kdnuggets.com/2015/11/overview-python-visualization-tools.html	NULL	NULL		NULL		2021
21942	The Glowing Python: Visualizing correlation matrices	http://glowingpython.blogspot.com/2012/10/visualizing-correlation-matrices.html	NULL	NULL		NULL		2021
21943		http://bl.ocks.org/ktaneishi/9265946	NULL	NULL		NULL		2021
21944	Redirecting...	http://www.graphviz.org/Download.php	NULL	NULL		NULL		2021
21945	GitHub - thejakeyboy/Python-Lectures	https://github.com/thejakeyboy/Python-Lectures	NULL	NULL		NULL		2021
21947	An Intuitive Explanation of Good-Turing Smoothing - Beyond Expectations	http://beyondexpectations.quora.com/An-Intuitive-Explanation-of-Good-Turing-Smoothing	NULL	NULL		NULL		2021
21948		https://github.com/turian/neural-language-model - Code for various neural language models	NULL	NULL		NULL		2021
21954	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/r0.10/tutorials/image_recognition/index.html	NULL	NULL		NULL		2021
21956	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/lm_1b	NULL	NULL		NULL		2021
21965	403 Forbidden	http://www.kdnuggets.com/2017/02/gentlest-introduction-tensorflow-part-3.html	NULL	NULL		NULL		2021
21975	Google AI Blog: Graph-powered Machine Learning at Google	https://research.googleblog.com/2016/10/graph-powered-machine-learning-at-google.html	NULL	NULL		NULL		2021
21976	404 — Bitbucket	https://bitbucket.org/taynaud/python-louvain	NULL	NULL		NULL		2021
21977	Terra Incognita	http://blog.christianperone.com/	NULL	NULL		NULL		2021
21978	GitHub - gutfeeling/beginner_nlp: A curated list of beginner resources in Natural Language Processing	https://github.com/gutfeeling/beginner_nlp	NULL	NULL		NULL		2021
21979	GitHub - andrewt3000/DL4NLP: Deep Learning for NLP resources	https://github.com/andrewt3000/dl4nlp	NULL	NULL		NULL		2021
21980	GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources	https://github.com/ujjwalkarn/Machine-Learning-Tutorials	NULL	NULL		NULL		2021
21981	GitHub - ujjwalkarn/DataSciencePython: common data analysis and machine learning tasks using python	https://github.com/ujjwalkarn/DataSciencePython	NULL	NULL		NULL		2021
21982	GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems.	https://github.com/bulutyazilim/awesome-datascience	NULL	NULL		NULL		2021
21983	awesome-artificial-intelligence/README.md at master · owainlewis/awesome-artificial-intelligence · GitHub	https://github.com/owainlewis/awesome-artificial-intelligence/raw/master/README.md	NULL	NULL		NULL		2021
21984	GitHub - edobashira/speech-language-processing: A curated list of speech and natural language processing resources	https://github.com/edobashira/speech-language-processing	NULL	NULL		NULL		2021
21985	A Compendium Of Machine Learning Resources	http://www.johnwittenauer.net/a-compendium-of-machine-learning-resources/	NULL	NULL		NULL		2021
21986	Deep Learning | Jeremy D. Jackson, PhD 	http://www.jeremydjacksonphd.com/category/deep-learning/	NULL	NULL		NULL		2016
21987	100 Best GitHub: Deep Learning | Meta-Guide.com	http://meta-guide.com/software-meta-guide/100-best-github-deep-learning	NULL	NULL		NULL		2021
21990	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/Analyzing-the-Papers-Behind-Facebook's-Computer-Vision-Approach/	NULL	NULL		NULL		2021
21999	Kaldi download | SourceForge.net	https://sourceforge.net/projects/kaldi/	NULL	NULL		NULL		2016
22004	The Glowing Python: Manifold learning on handwritten digits with Isomap	http://glowingpython.blogspot.com/2012/05/manifold-learning-on-handwritten-digits.html	NULL	NULL		NULL		2021
22005	The Glowing Python: Real-time Twitter analysis	http://glowingpython.blogspot.com/2013/04/real-time-twitter-analysis.html	NULL	NULL		NULL		2021
22006	The Glowing Python: A toy Bloom Filter	http://glowingpython.blogspot.com/2013/01/bloom-filter.html	NULL	NULL		NULL		2021
22007	The Glowing Python: Box-Muller Transformation	http://glowingpython.blogspot.com/2013/01/box-muller-transformation.html	NULL	NULL		NULL		2021
22008	404 Not Found	http://web.eecs.umich.edu/~radev/intronlp/	NULL	NULL		NULL		2021
22009	parallel_ml_tutorial/03 - Basic principles of Machine Learning.ipynb at master · ogrisel/parallel_ml_tutorial · GitHub	https://github.com/ogrisel/parallel_ml_tutorial/raw/master/rendered_notebooks/03%20-%20Basic%20principles%20of%20Machine%20Learning.ipynb	NULL	NULL		NULL		2021
22013	Page not found · GitHub Pages	http://torch.ch/ - Scientific computing framework in LuaJIT	NULL	NULL		NULL		2021
22014	Page not found · GitHub Pages	http://caffe.berkeleyvision.org/ - Deep learning framework in Python and Matlab	NULL	NULL		NULL		2021
22015	404 Error | Deeplearning4j	http://deeplearning4j.org/ - Deep learning framework in Java	NULL	NULL		NULL		2021
22016	Page not found : Stanford University	http://cs224d.stanford.edu/reports.html - Final reports from the Stanford DL for NLP class.	NULL	NULL		NULL		2021
22017	Coursera	https://class.coursera.org/nlpintro-001/forum/thread?thread_id=104#post-410	NULL	NULL		NULL		2021
22026	403 Forbidden	http://www.kdnuggets.com/2015/10/top-arxiv-deep-learning-papers-explained.html	NULL	NULL		NULL		2021
22027	403 Forbidden	http://www.kdnuggets.com/2014/11/9-must-have-skills-data-scientist.html	NULL	NULL		NULL		2021
22036	Page not Found | The Auton Lab	http://www.autonlab.org/tutorials/	NULL	NULL		NULL		2021
22037	Page not Found | The Auton Lab	http://www.autonlab.org/tutorials/list.html	NULL	NULL		NULL		2021
22038	NNBlocks/nnb at master · NNBlocks/NNBlocks · GitHub	https://github.com/NNBlocks/NNBlocks/tree/master/nnb	NULL	NULL		NULL		2021
22043	Manaal Faruqui	http://www.cs.cmu.edu/~mfaruqui/soft.html - list of datasets and tools mantained by Manaal Faruqui	NULL	NULL		NULL		2021
22045	Trustpilot Reviews: Experience the power of customer reviews	https://www.trustpilot.com/	NULL	NULL		NULL		2021
22046	Where can I find large datasets open to the public? - Quora	https://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public	NULL	NULL		NULL		2021
22048	Resource has moved	http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/PublicDatasets	NULL	NULL		NULL		2021
22049	Resource has moved	http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/WebHome	NULL	NULL		NULL		2021
22050	Resource has moved	http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/ListDatasets	NULL	NULL		NULL		2021
22078	403 Forbidden	http://www.kdnuggets.com/2016/02/dato-introduction-text-analytics-sherlock-holmes.html	NULL	NULL		NULL		2021
22082	403 Forbidden	http://www.kdnuggets.com/2015/12/top-10-deep-learning-tips-tricks.html	NULL	NULL		NULL		2021
22104	nbviewer	http://nbviewer.jupyter.org/	NULL	NULL		NULL		2021
22107	Page not found : Stanford University	http://stanford.edu/~lmthang/bivec/	NULL	NULL		NULL		2021
22113	Twitter Sentiment - Resources - Google Sheets	https://docs.google.com/spreadsheets/d/1rO3cYZrrIKNMH9poTQEGhKUSOoS3zML0AjDItoGWzOQ/edit#gid=0	NULL	NULL		NULL		2021
22126	404 — Page not found	http://www.johnwittenauer.net/assignments-from-googles-deep-learning-class-posted/	NULL	NULL		NULL		2021
22130	Google AI Blog: A Multilingual Corpus of Automatically Extracted Relations from Wikipedia	https://research.googleblog.com/2015/06/a-multilingual-corpus-of-automatically.html	NULL	NULL		NULL		2021
22131	CMU Movie Summary Corpus	http://www.cs.cmu.edu/~ark/personas/	NULL	NULL		NULL		2021
22133	Wordnik	https://www.wordnik.com/	NULL	NULL		NULL		2021
22149	GitHub - fh295/GroundHog: Library for implementing RNNs with Theano	https://github.com/fh295/GroundHog	NULL	NULL		NULL		2021
22150	Lectures – Page 3 – IFT6266 – H2015 Representation Learning	https://ift6266h15.wordpress.com/category/lectures/page/3/	NULL	NULL		NULL		2015
22153	boilerpipe · PyPI	https://pypi.python.org/pypi/boilerpipe	NULL	NULL		NULL		2013
22156	WIT3	https://wit3.fbk.eu/	NULL	NULL		NULL		2021
22175	404 — Bitbucket	https://bitbucket.org/richardpenman/sitescraper/	NULL	NULL		NULL		2021
22181	Service no longer available	http://www.eat.rl.ac.uk/	NULL	NULL		NULL		2021
22186	Google AI Blog: Inceptionism: Going Deeper into Neural Networks	https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html	NULL	NULL		NULL		2021
22191	Word Spy	http://www.wordspy.com/	NULL	NULL		NULL		2021
22194	Niraj	https://sites.google.com/site/nirajatweb/home/interactive-tutorials	NULL	NULL		NULL		2021
22196	404 Not Found	http://image-net.org/small/download.php	NULL	NULL		NULL		2021
22197	Page not found · GitHub · GitHub	https://github.com/salestock/fastText.py	NULL	NULL		NULL		2021
22198	natural language processing blog: Decoding (neural?) representations	http://nlpers.blogspot.com/2016/07/decoding-neural-representations.html	NULL	NULL		NULL		2021
22205	HistWords: Word Embeddings for Historical Text	http://nlp.stanford.edu/projects/histwords/	NULL	NULL		NULL		2021
22210	GitHub - PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (????????,????&?????????????????????)	https://github.com/baidu/paddle	NULL	NULL		NULL		2021
22211	Home · codalab/codalab-worksheets Wiki · GitHub	https://github.com/codalab/codalab-worksheets/wiki	NULL	NULL		NULL		2021
22214	reddit: the front page of the internet	https://www.reddit.com/r/MachineLearning/comments/515dus/kdd_panel_is_deep_learning_the_new_42/	NULL	NULL		NULL		2021
22216	404 Not Found	http://michal.sustr.sk/blog/outlier-analysis/	NULL	NULL		NULL		2021
22217	Google AI Blog: TF-Slim: A high level library to define complex models in TensorFlow	https://research.googleblog.com/2016/08/tf-slim-high-level-library-to-define.html	NULL	NULL		NULL		2021
22218	Google AI Blog: Train your own image classifier with Inception in TensorFlow	https://research.googleblog.com/2016/03/train-your-own-image-classifier-with.html	NULL	NULL		NULL		2021
22227	[bnc] British National Corpus	http://www.natcorp.ox.ac.uk/	NULL	NULL		NULL		2021
22228	404 - Page Not Found - Directory Services @ UOW	http://www.uow.edu.au/~dlee/software.htm	NULL	NULL		NULL		2021
22233	Yann LeCun - Deep Learning and the Future of AI : MachineLearning	https://www.reddit.com/r/MachineLearning/comments/54bpsb/yann_lecun_deep_learning_and_the_future_of_ai/	NULL	NULL		NULL		2021
22241	GitHub - dennybritz/startupreadings: Reading list for all things startup-related	https://github.com/dennybritz/startupreadings	NULL	NULL		NULL		2021
22244	403 Forbidden	http://www.cl.cam.ac.uk/~sc609/java-candc.html	NULL	NULL		NULL		2021
22253	(none)	http://nlpado.de/~sebastian/software/dv.shtml	NULL	NULL		NULL		2021
22268	Documentaries on Statistics and Machine Learning	https://www.analyticsvidhya.com/blog/2015/11/7-watch-documentaries-statistics-machine-learning/	NULL	NULL		NULL		2015
22282	Google Python Class Day 1 Part 1 - YouTube	https://www.youtube.com/watch?v=tKTZoB2Vjuk	NULL	NULL		NULL		2021
22296	editdistance · PyPI	https://pypi.python.org/pypi/editdistance	NULL	NULL		NULL		2019
22304	NetworkX — NetworkX  documentation	https://networkx.github.io/	NULL	NULL		NULL		2021
22306	pandas - Python Data Analysis Library	http://pandas.pydata.org/	NULL	NULL		NULL		2021
22308	A gallery of interesting IPython Notebooks · ipython/ipython Wiki · GitHub	https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks	NULL	NULL		NULL		2021
22309	GitHub - ogrisel/notebooks: Some sample IPython notebooks for scikit-learn	https://github.com/ogrisel/notebooks	NULL	NULL		NULL		2021
22319	Catalog Home | Codecademy	https://www.codecademy.com/learn/python	NULL	NULL		NULL		2021
22322	? Quantitative ?ourney | Not Found	http://outlace.com/Simple-Genetic-Algorithm-in-15-lines-of-Python/	NULL	NULL		NULL		2021
22323	? Quantitative ?ourney | Not Found	http://outlace.com/Simple-Genetic-Algorithm-Python-Addendum/	NULL	NULL		NULL		2021
22331	404 Error | Deeplearning4j	https://deeplearning4j.org/restrictedboltzmannmachine.html	NULL	NULL		NULL		2021
22332	404 Error | Deeplearning4j	https://deeplearning4j.org/deepautoencoder.html	NULL	NULL		NULL		2021
22345	Python tools for NLP.ipynb · GitHub	https://gist.github.com/francoiseprovencher/83c595531177ac88e3c0	NULL	NULL		NULL		2021
22347	AI Frameworks	https://www.nervanasys.com/demystifying-deep-reinforcement-learning/	NULL	NULL		NULL		2021
22348	James McInerney's answer to Why does LDA work? - Quora	https://www.quora.com/Why-does-LDA-work/answer/James-McInerney-1	NULL	NULL		NULL		2021
22354	404 Not Found	http://www.ling.ohio-state.edu/~elsner.14/resources/chat-manual.html	NULL	NULL		NULL		2021
22356	Releases · sleepinyourhat/vector-entailment · GitHub	https://github.com/sleepinyourhat/vector-entailment/releases/	NULL	NULL		NULL		2021
22357	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/archive/p/clml/	NULL	NULL		NULL		2021
22360	Page not found · GitHub · GitHub	https://github.com/sq6ra/encoder-decoder-model-with-sequence-learning-with-RNN-LSTM-	NULL	NULL		NULL		2021
22370	Page not found · GitHub · GitHub	https://github.com/NickShahML/tensorflow_with_latest_papers	NULL	NULL		NULL		2021
22387	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/Deep-Learning-Research-Review-Week-1-Generative-Adversarial-Nets	NULL	NULL		NULL		2021
22388	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/Deep-Learning-Research-Review-Week-2-Reinforcement-Learning	NULL	NULL		NULL		2021
22389	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html	NULL	NULL		NULL		2021
22392	Datasets — Allen Institute for AI	http://allenai.org/data.html	NULL	NULL		NULL		2021
22410	404 — Bitbucket	https://bitbucket.org/melsner/browncoherence	NULL	NULL		NULL		2021
22424	404 not found	https://metamind.io/research/new-neural-network-building-block-allows-faster-and-more-accurate-text-understanding/	NULL	NULL		NULL		2021
22425	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/neural_programmer	NULL	NULL		NULL		2021
22426	Object not found!	http://www.cis.lmu.de/~sascha/AutoExtend/	NULL	NULL		NULL		2021
22427	Page not found · GitHub · GitHub	https://github.com/facebookresearch/fastText/raw/master/pretrained-vectors.md	NULL	NULL		NULL		2021
22429	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/archive/p/morphisto/	NULL	NULL		NULL		2021
22433	404 not found	https://metamind.io/research/the-wikitext-long-term-dependency-language-modeling-dataset	NULL	NULL		NULL		2021
22445	404 not found	https://metamind.io/research/learning-when-to-skim-and-when-to-read	NULL	NULL		NULL		2021
22450	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/recurrent	NULL	NULL		NULL		2021
22454	CS231n Convolutional Neural Networks for Visual Recognition	http://cs231n.github.io/	NULL	NULL		NULL		2021
22461	Share	https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs	NULL	NULL		NULL		2021
22463	e???æoæ??a? ??a??¡e?¢«e??a??¶e?®¿e??®  Access Forbidden	http://hcp.sysu.edu.cn/lip/index.php	NULL	NULL		NULL		2021
22464	Google AI Blog: An Upgrade to SyntaxNet, New Models and a Parsing Competition	https://research.googleblog.com/2017/03/an-upgrade-to-syntaxnet-new-models-and.html	NULL	NULL		NULL		2021
22474	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/p/jacana/	NULL	NULL		NULL		2021
22475		http://nal.co/DCNN	NULL	NULL		NULL		2021
22480	Reconcile - Coreference Resolution Engine	http://www.cs.utah.edu/nlp/reconcile/	NULL	NULL		NULL		2021
22484	404 Not Found	http://ttic.uchicago.edu/~mbansal/data/syntacticEmbeddings.zip	NULL	NULL		NULL		2021
22486	GitHub - nature-of-code/noc-examples-processing: Repository for example code from The Nature of Code book	https://github.com/shiffman/The-Nature-of-Code-Examples	NULL	NULL		NULL		2021
22490	404 Not Found	http://128.2.220.95/multilingual/data/	NULL	NULL		NULL		2021
22491	TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17) - YouTube	https://www.youtube.com/watch?v=u4alGiomYP4&app=desktop	NULL	NULL		NULL		2021
22496	CMUSphinx Tutorial For Developers – CMUSphinx Open Source Speech Recognition	http://cmusphinx.sourceforge.net/wiki/tutorial	NULL	NULL		NULL		2021
22499	GitHub - RasaHQ/rasa: ????   Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots an	https://github.com/golastmile/rasa_nlu	NULL	NULL		NULL		2021
22513	Scikit-Learn Tutorial Series - Data Science Central	http://www.datasciencecentral.com/profiles/blogs/scikit-learn-tutorial-series	NULL	NULL		NULL		2021
22522		https://athena.brynmawr.edu/jupyter/hub/josh/public/BioCS115/Lecture_Notes	NULL	NULL		NULL		2021
22523		https://athena.brynmawr.edu/jupyter/hub/josh/public/BioCS115/Lecture_Notes/2016-04-06_Artificial_Neural_networks.ipynb	NULL	NULL		NULL		2021
22528	GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.	https://github.com/facebookresearch/faiss	NULL	NULL		NULL		2021
22544		http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html	NULL	NULL		NULL		2021
22559	Gensim switches to semantic versioning | RARE Technologies	https://rare-technologies.com/gensim-switches-to-semantic-versioning/	NULL	NULL		NULL		2017
22568	Google AI Blog: Announcing AudioSet: A Dataset for Audio Event Research	https://research.googleblog.com/2017/03/announcing-audioset-dataset-for-audio.html	NULL	NULL		NULL		2021
22571	GitHub - ayushoriginal/Multi-Document-Summarization: Neural Network based MDS	https://github.com/ayushoriginal/Multi-Document-Summarization	NULL	NULL		NULL		2021
22575	natural language processing blog: Structured prediction is *not* RL	https://nlpers.blogspot.com/2017/04/structured-prediction-is-not-rl.html	NULL	NULL		NULL		2021
22581		http://ipython-books.github.io/featured-07/	NULL	NULL		NULL		2021
22583	Gym	https://gym.openai.com/	NULL	NULL		NULL		2021
22587	Gareth James	http://www-bcf.usc.edu/%7Egareth/ISL/ISLR%20Sixth%20Printing.pdf	NULL	NULL		NULL		2021
22588		http://statweb.stanford.edu/%7Etibs/ElemStatLearn/printings/ESLII_print10.pdf	NULL	NULL		NULL		2021
22594	WordPress.com	https://theinformationageblog.wordpress.com/2017/04/10/artificial-sentiment-analysis-the-new-achievement-by-openai/	NULL	NULL		NULL		2021
22611	response-ranking/data/input at master · hiroki13/response-ranking · GitHub	https://github.com/hiroki13/response-ranking/tree/master/data/input	NULL	NULL		NULL		2021
22618	GitHub - clab/dynet_tutorial_examples: Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016	https://github.com/clab/dynet_tutorial_examples	NULL	NULL		NULL		2021
22619	Jupyter Notebook Viewer	https://nbviewer.jupyter.org/github/jupyter/notebook/blob/master/docs/source/examples/Notebook/Running%20Code.ipynb	NULL	NULL		NULL		2021
22620	Jupyter Notebook Viewer	https://nbviewer.jupyter.org/github/ipython/ipython/blob/master/examples/IPython%20Kernel/Index.ipynb	NULL	NULL		NULL		2021
22634	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/temporaer/tutorial_ml_gkbionics/blob/master/2%20-%20KMeans.ipynb	NULL	NULL		NULL		2021
22644	data-science-ipython-notebooks/README.md at master · donnemartin/data-science-ipython-notebooks · GitHub	https://github.com/donnemartin/data-science-ipython-notebooks/raw/master/README.md	NULL	NULL		NULL		2021
22648		http://ipython-books.github.io/featured-04/	NULL	NULL		NULL		2021
22671	clearnlp-converter · PyPI	https://pypi.python.org/pypi/clearnlp-converter/	NULL	NULL		NULL		2015
22701	404 - File or directory not found.	http://usblogs.pwc.com/emerging-technology/wp-content/uploads/2017/04/PwC_Next-in-Tech_Infographic_Machine-learning-methods_2017.pdf	NULL	NULL		NULL		2021
22724	Yale University | Financial Times	https://www.ft.com/content/048f418c-2487-11e7-a34a-538b4cb30025	NULL	NULL		NULL		2021
22734	Introducing the Open Images Dataset | Google Open Source Blog	https://opensource.googleblog.com/2016/10/introducing-open-images-dataset.html	NULL	NULL		NULL		2021
22772	Google AI Blog: Show and Tell: image captioning open sourced in TensorFlow	https://research.googleblog.com/2016/09/show-and-tell-image-captioning-open.html	NULL	NULL		NULL		2021
22781	How to learn Machine Learning in 10 days - Quora	https://www.quora.com/How-do-I-learn-Machine-Learning-in-10-days	NULL	NULL		NULL		2021
22783	Seeing Theory	http://students.brown.edu/seeing-theory/	NULL	NULL		NULL		2021
22810	Google AI Blog: Image Compression with Neural Networks	https://research.googleblog.com/2016/09/image-compression-with-neural-networks.html?m=1	NULL	NULL		NULL		2021
22811	403 Forbidden	https://blogs.microsoft.com/firehose/2016/01/25/cntk-microsofts-open-source-deep-learning-toolkit-now-available-on-github/	NULL	NULL		NULL		2021
22812	Introducing the Open Images Dataset | Google Open Source Blog	https://opensource.googleblog.com/2016/10/introducing-open-images-dataset.html?m=1	NULL	NULL		NULL		2021
22818	Blog not found	http://prooffreaderplus.blogspot.co.uk/2016/10/hugo-larochelles-neural-network-deep.html	NULL	NULL		NULL		2021
22819	GitHub - ytdl-org/youtube-dl: Command-line program to download videos from YouTube.com and other video sites	https://github.com/rg3/youtube-dl	NULL	NULL		NULL		2021
22828	Google AI Blog: App Discovery with Google Play, Part 1: Understanding Topics	https://research.googleblog.com/2016/11/app-discovery-with-google-play-part-1.html?m=1	NULL	NULL		NULL		2021
22830	Google AI Blog: Teaching Machines to Draw	https://research.googleblog.com/2017/04/teaching-machines-to-draw.html	NULL	NULL		NULL		2021
22839	404 Error | Deeplearning4j	https://deeplearning4j.org/compare-dl4j-torch7-pylearn	NULL	NULL		NULL		2021
22851	Not Acceptable!	http://cristivlad.com/voice-input-app-in-python-code-release-and-overview-may-2017/	NULL	NULL		NULL		2021
22855	GitHub - nyu-dl/Intro_to_ML_Lecture_Note	https://github.com/nyu-dl/Intro_to_ML_Lecture_Note	NULL	NULL		NULL		2021
22857		https://s3.amazonaws.com/fairseq/papers/convolutional-sequence-to-sequence-learning.pdf	NULL	NULL		NULL		2021
22883	404 not found	https://metamind.io/research/your-tldr-by-an-ai-a-deep-reinforced-model-for-abstractive-summarization	NULL	NULL		NULL		2021
22889	Deep Learning Weekly	http://www.deeplearningweekly.com/blog/demystifying-word2vec	NULL	NULL		NULL		2021
22913	Machine Learning – Machine Learnings	https://machinelearnings.co/tagged/machine-learning	NULL	NULL		NULL		2021
22921	Jupyter Blog	http://blog.jupyter.org/2017/04/04/jupyter-notebook-5-0/	NULL	NULL		NULL		2021
22924	reddit: the front page of the internet	https://www.reddit.com/r/MachineLearning/comments/5hwqeb/project_all_code_implementations_for_nips_2016/	NULL	NULL		NULL		2021
22932	503 Service Unavailable	http://lipn.univ-paris13.fr/framester/	NULL	NULL		NULL		2021
22949	A Year of Artificial Intelligence	https://ayearofai.com/	NULL	NULL		NULL		2017
22956	We are sorry, the resource you requested cannot be reached	http://www.sind.ai	NULL	NULL		NULL		2021
22977	403 Forbidden	https://www.bayareadlschool.org/schedule	NULL	NULL		NULL		2021
22990	Yale Data Science	https://yaledatascience.github.io/	NULL	NULL		NULL		2021
22991	Resources by YaleDataScience	https://yaledatascience.github.io/Resources/	NULL	NULL		NULL		2021
22997	Google AI Blog: Using Machine Learning to Explore Neural Network Architecture	https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html	NULL	NULL		NULL		2021
23045	awesome-machine-learning/books.md at master · josephmisiti/awesome-machine-learning · GitHub	https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md	NULL	NULL		NULL		2021
23097	ipython-notebooks/NLTK.ipynb at master · jdwittenauer/ipython-notebooks · GitHub	https://github.com/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/NLTK.ipynb	NULL	NULL		NULL		2021
23112	Page not found · GitHub · GitHub	https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-image-generation.md	NULL	NULL		NULL		2021
23113	handong1587.github.io/2015-10-09-fun-with-deep-learning.md at master · handong1587/handong1587.github.io · GitHub	https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-fun-with-deep-learning.md	NULL	NULL		NULL		2021
23114	Page not found · GitHub · GitHub	https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-generative-models.md	NULL	NULL		NULL		2021
23132	ipython-wiki/A-gallery-of-interesting-IPython-Notebooks.md at master · Carreau/ipython-wiki · GitHub	https://github.com/Carreau/ipython-wiki/blob/master/A-gallery-of-interesting-IPython-Notebooks.md	NULL	NULL		NULL		2021
23201	Page not found · GitHub · GitHub	https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py	NULL	NULL		NULL		2021
23424	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/blob/master/syntaxnet/universal.md	NULL	NULL		NULL		2021
23551	awesome-artificial-intelligence/README.md at master · owainlewis/awesome-artificial-intelligence · GitHub	https://github.com/owainlewis/awesome-artificial-intelligence/blob/master/README.md	NULL	NULL		NULL		2021
23577	parallel_ml_tutorial/03 - Basic principles of Machine Learning.ipynb at master · ogrisel/parallel_ml_tutorial · GitHub	https://github.com/ogrisel/parallel_ml_tutorial/blob/master/rendered_notebooks/03%20-%20Basic%20principles%20of%20Machine%20Learning.ipynb	NULL	NULL		NULL		2021
23995	Page not found · GitHub · GitHub	https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md	NULL	NULL		NULL		2021
24003	Mining of Massive Datasets	http://www.mmds.org/	NULL	NULL		NULL		2021
24213	data-science-ipython-notebooks/README.md at master · donnemartin/data-science-ipython-notebooks · GitHub	https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/README.md	NULL	NULL		NULL		2021
24587	404 Page not found |	http://elki.cc/bist-demo.html	NULL	NULL		NULL		2021
24592	404 not found	https://metamind.io/research/state-of-the-art-deep-learning-model-for-question-answering/	NULL	NULL		NULL		2021
24595	Google AI Blog: Open sourcing the Embedding Projector: a tool for visualizing high dimensional data	https://research.googleblog.com/2016/12/open-sourcing-embedding-projector-tool.html	NULL	NULL		NULL		2021
24606	AI Frameworks	https://www.nervanasys.com/neon-v1-8-0-released/	NULL	NULL		NULL		2021
24617	404 not found	https://metamind.io/research/multiple-different-natural-language-processing-tasks-in-a-single-deep-model/	NULL	NULL		NULL		2021
24635	Google AI Blog: An updated YouTube-8M, a video understanding challenge, and a CVPR workshop. Oh my!	https://research.googleblog.com/2017/02/an-updated-youtube-8m-video.html	NULL	NULL		NULL		2021
24649	Facebook	https://www.facebook.com/CristiVladZ/videos/1894701210795170/	NULL	NULL		NULL		2021
24651	stanfordcorenlp · PyPI	https://pypi.python.org/pypi/stanfordcorenlp/3.7.0.1	NULL	NULL		NULL		2017
24658	404  |  Page Not Found  |  Google Codelabs	https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/index.html	NULL	NULL		NULL		2021
24668		https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/	NULL	NULL		NULL		2021
24669		https://ml.berkeley.edu/blog/2016/12/24/tutorial-2/	NULL	NULL		NULL		2021
24670		https://ml.berkeley.edu/blog/2017/02/04/tutorial-3/	NULL	NULL		NULL		2021
24671	Error 404 (Not Found)!!1	http://pete.yuret.com/	NULL	NULL		NULL		2021
24690	404: Not Found | Jakub Arnold Blog	https://blog.jakuba.net/2017/05/30/tensorflow-visualization.html	NULL	NULL		NULL		2021
24692	GitHub - mlberkeley/oreilly-captions	https://github.com/mlberkeley/oreilly-captions	NULL	NULL		NULL		2021
24700	404: Page not found · Chris McCormick	http://mccormickml.com/2015/09/16/notes-on-pagerank/	NULL	NULL		NULL		2021
24701	404: Page not found · Chris McCormick	http://mccormickml.com/2015/08/05/document-clustering-example-in-scikit-learn/	NULL	NULL		NULL		2021
24702	404: Page not found · Chris McCormick	http://mccormickml.com/2014/06/26/deep-learning-tutorial-convolutional-neural-networks/	NULL	NULL		NULL		2021
24728	Roman Trusov's answer to Why should one learn machine learning from scratch rather than just learning to use the available libraries? - Quora	https://www.quora.com/Why-should-one-learn-machine-learning-from-scratch-rather-than-just-learning-to-use-the-available-libraries/answer/Roman-Trusov	NULL	NULL		NULL		2021
24729	Edwin Chen's answer to What is an intuitive explanation of LSTMs and GRUs? - Quora	https://www.quora.com/What-is-an-intuitive-explanation-of-LSTMs-and-GRUs/answer/Edwin-Chen-1	NULL	NULL		NULL		2021
24730	Edwin Chen's answer to What is a good explanation of Latent Dirichlet Allocation? - Quora	https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation/answer/Edwin-Chen-1	NULL	NULL		NULL		2021
24732	Page not found · GitHub · GitHub	https://github.com/pauli-space/foundations_for_deep_learning	NULL	NULL		NULL		2021
24750	Scrapy | A Fast and Powerful Scraping and Web Crawling Framework	https://scrapy.org/	NULL	NULL		NULL		2021
24759	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	http://cs.stanford.edu/people/jcjohns/clevr/	NULL	NULL		NULL		2021
24760	403 Forbidden	https://www.microsoft.com/en-us/cognitive-toolkit/blog/2017/06/microsofts-high-performance-open-source-deep-learning-toolkit-now-generally-available/	NULL	NULL		NULL		2021
24762	nl2sql/ at master · sriniiyer/nl2sql · GitHub	https://github.com/sriniiyer/nl2sql?files=1	NULL	NULL		NULL		2021
24764	404 Page not found | Neal Caren	http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-1/	NULL	NULL		NULL		2021
24765	404 Page not found | Neal Caren	http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-2/	NULL	NULL		NULL		2021
24766	404 Page not found | Neal Caren	http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-3/	NULL	NULL		NULL		2021
24767	Generative Adversarial Networks | Generative Models	https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans	NULL	NULL		NULL		2017
24770	403 Forbidden	http://www.topbots.com/exploring-lstm-tutorial-part-1-recurrent-neural-network-deep-learning/	NULL	NULL		NULL		2021
24771		http://www.chatterboxchallenge.com/	NULL	NULL		NULL		2021
24772	Probabilities and Language Models - VideoLectures.NET	http://videolectures.net/hltss2010_eisner_plm/video/1/	NULL	NULL		NULL		2021
24777	Topic Models - VideoLectures.NET	http://videolectures.net/mlss09uk_blei_tm/	NULL	NULL		NULL		2021
24778	404 Not Found	http://www.cs.princeton.edu/~blei/topicmodeling.html	NULL	NULL		NULL		2021
24779	404 Not Found	http://homepages.inf.ed.ac.uk/fsangati/	NULL	NULL		NULL		2021
24782	404 Not Found	http://cake.da.inf.ethz.ch/clueweb-topicmodels/	NULL	NULL		NULL		2021
24798	410 post suspended — Medium	https://medium.com/towards-data-science/types-of-optimization-algorithms-used-in-neural-networks-and-ways-to-optimize-gradient-95ae5d39529f	NULL	NULL		NULL		2021
24802	Multivariable Calculus	http://people.math.gatech.edu/~cain/notes/calculus.html	NULL	NULL		NULL		2021
24806	Google AI Blog: Accelerating Deep Learning Research with the Tensor2Tensor Library	https://research.googleblog.com/2017/06/accelerating-deep-learning-research.html	NULL	NULL		NULL		2021
24821	The page you were looking for doesn't exist (404)	https://www.twentybn.com/datasets	NULL	NULL		NULL		2021
24868	Google AI Blog: Coarse Discourse: A Dataset for Understanding Online Discussions	https://research.googleblog.com/2017/05/coarse-discourse-dataset-for.html	NULL	NULL		NULL		2021
24890	410 account suspended — Medium	https://medium.com/towards-data-science/generative-models-and-gans-fe7efc20020b	NULL	NULL		NULL		2021
24892	410 account suspended — Medium	https://medium.com/towards-data-science/activation-functions-and-its-types-which-is-better-a9a5310cc8f	NULL	NULL		NULL		2021
24896	Page Not Found	https://monkeylearn.com/blog/the-definitive-guide-to-natural-language-processing/	NULL	NULL		NULL		2021
24932	404 Not Found	https://people.ucsc.edu/~praman1/static/pub/math-for-ml.pdf	NULL	NULL		NULL		2021
24938		http://pytorch.org/tutorials/_downloads/seq2seq_translation_tutorial.ipynb	NULL	NULL		NULL		2021
24957	GitHub - aditya-AI/Deep-Learning: This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the e	https://github.com/aditya101993/Deep-Learning-examples-using-Tensorflow	NULL	NULL		NULL		2021
24962	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/jrjohansson/numerical-python-book-code/blob/master/ch06-code-listing.ipynb	NULL	NULL		NULL		2021
24967	intro_programming/notebooks at master · ehmatthes/intro_programming · GitHub	https://github.com/ehmatthes/intro_programming/tree/master/notebooks	NULL	NULL		NULL		2021
25071	Welcome to polyglot’s documentation! — polyglot 16.07.04 documentation	https://polyglot.readthedocs.io/en/latest/	NULL	NULL		NULL		2021
25073	CodaLab Worksheets	https://worksheets.codalab.org/worksheets/0xf26cd79d4d734287868923ad1067cf4c/	NULL	NULL		NULL		2021
25086	GitHub - deepmind/rc-data: Question answering dataset featured in "Teaching Machines to Read and Comprehend	https://github.com/deepmind/rc-data	NULL	NULL		NULL		2021
25093		https://opendatascience.com/blog/getting-to-know-neural-networks-with-perceptron/	NULL	NULL		NULL		2021
25110	404 Error You Overfit It | Talking Machines	http://www.thetalkingmachines.com/blog/	NULL	NULL		NULL		2021
25112	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/word2vec	NULL	NULL		NULL		2021
25113	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/recurrent	NULL	NULL		NULL		2021
25114	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/seq2seq	NULL	NULL		NULL		2021
25115	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/layers	NULL	NULL		NULL		2021
25116	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/deep_cnn	NULL	NULL		NULL		2021
25117	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/image_recognition	NULL	NULL		NULL		2021
25118	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/using_gpu	NULL	NULL		NULL		2021
25119	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/linear	NULL	NULL		NULL		2021
25120	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/wide	NULL	NULL		NULL		2021
25121	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/wide_and_deep	NULL	NULL		NULL		2021
25122	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/kernel_methods	NULL	NULL		NULL		2021
25123	Page not found : Stanford University	http://web.stanford.edu/class/cs224n/lecture_notes/cs224n-2017-review-differential-calculus.pdf	NULL	NULL		NULL		2021
25129	Sentiment Analysis - Algorithm by nlp - Algorithmia	https://algorithmia.com/algorithms/nlp/SentimentAnalysis	NULL	NULL		NULL		2021
25166	AWS Public Data Set	https://aws.amazon.com/de/datasets/enron-email-data/	NULL	NULL		NULL		2021
25167	AWS Public Data Set	https://aws.amazon.com/de/datasets/freebase-data-dump/	NULL	NULL		NULL		2021
25168	AWS Public Data Set	https://aws.amazon.com/de/datasets/freebase-quad-dump/	NULL	NULL		NULL		2021
25170	reddit: the front page of the internet	https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/	NULL	NULL		NULL		2021
25174	Stack Exchange Data Explorer	http://data.stackexchange.com/	NULL	NULL		NULL		2021
25193	A Gentle Introduction to Artificial Neural Networks | The OG Clever Machine	https://theclevermachine.wordpress.com/2014/09/11/a-gentle-introduction-to-artificial-neural-networks/	NULL	NULL		NULL		2021
25194	Derivation: Derivatives for Common Neural Network Activation Functions | The OG Clever Machine	https://theclevermachine.wordpress.com/2014/09/08/derivation-derivatives-for-common-neural-network-activation-functions/	NULL	NULL		NULL		2021
25195	Derivation: Error Backpropagation & Gradient Descent for Neural Networks | The OG Clever Machine	https://theclevermachine.wordpress.com/2014/09/06/derivation-error-backpropagation-gradient-descent-for-neural-networks/	NULL	NULL		NULL		2021
25200	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/skip_thoughts	NULL	NULL		NULL		2021
25202	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/raw/master/syntaxnet/g3doc/conll2017/README.md	NULL	NULL		NULL		2021
25215	Page not found · GitHub Pages	http://andreasvlachos.github.io/assets/lectures_reveal_js/LxMLS22July2016/ImitationLearningTutorial.html#/	NULL	NULL		NULL		2021
25216	Machine Learning and AI Foundations: Value Estimations	https://www.lynda.com/Data-Science-tutorials/Machine-Learning-Essential-Training-Value-Estimations/548594-2.html	NULL	NULL		NULL		2021
25221	Google AI Blog: An Update to Open Images - Now with Bounding-Boxes	https://research.googleblog.com/2017/07/an-update-to-open-images-now-with.html	NULL	NULL		NULL		2021
25224	Google AI Blog: Building Your Own Neural Machine Translation System in TensorFlow	https://research.googleblog.com/2017/07/building-your-own-neural-machine.html	NULL	NULL		NULL		2021
25242	Page not found - Starting a Contractor Company - Roofing, Masonry, Tree Care And More	http://www.camdial.org/pydial/	NULL	NULL		NULL		2021
25256	404 Not Found	http://mattmurray.net/building-a-music-recommender-with-deep-learning/	NULL	NULL		NULL		2021
25263		https://ml.berkeley.edu/blog/2017/07/13/tutorial-4/	NULL	NULL		NULL		2021
25268	Open source conversational AI | Rasa	http://rasa.ai/	NULL	NULL		NULL		2021
25282	Google AI Blog: Harness the Power of Machine Learning in Your Browser with Deeplearn.js	https://research.googleblog.com/2017/08/harness-power-of-machine-learning-in.html	NULL	NULL		NULL		2021
25302	Welcome to Lasagne — Lasagne 0.2.dev1 documentation	http://lasagne.readthedocs.io/en/latest/	NULL	NULL		NULL		2021
25305	403-forbidden	http://ataspinar.com/2017/08/15/building-convolutional-neural-networks-with-tensorflow/	NULL	NULL		NULL		2021
25308	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/Why-Machine-Learning-is-a-Metaphor-For-Life	NULL	NULL		NULL		2021
25310	RethinkDB: the open-source database for the realtime web	https://www.rethinkdb.com/	NULL	NULL		NULL		2021
25314	Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank	https://nlp.stanford.edu/sentiment/treebank.html	NULL	NULL		NULL		2021
25322	GitHub - msr-ds3/coursework: summer school coursework	https://github.com/msr-ds3/coursework	NULL	NULL		NULL		2021
25325	How to install TensorFlow with GPU support on Windows 10 with Anaconda | by Minh Le | Medium	https://medium.com/@minhplayer95/how-to-install-tensorflow-with-gpu-support-on-windows-10-with-anaconda-4e80a8beaaf0	NULL	NULL		NULL		2021
25326	Machine Reasoning: distinguishing features | by gk_ | Towards Data Science	https://medium.com/towards-data-science/machine-reasoning-distinguishing-features-beff5159d957	NULL	NULL		NULL		2021
25333	artificialbrain.xyz	http://www.artificialbrain.xyz/towards-artificial-general-intelligence-oriol-vinyals/	NULL	NULL		NULL		2021
25334	How does physics connect to machine learning? – Jaan Altosaar	https://jaan.io/how-does-physics-connect-machine-learning/	NULL	NULL		NULL		2021
25335	      Reinforcement learning for complex goals, using TensorFlow a??? Oa???Reilly     	https://www.oreilly.com/ideas/reinforcement-learning-for-complex-goals-using-tensorflow	NULL	NULL		NULL		2021
25336	403 Forbidden	http://www.kdnuggets.com/2017/08/deep-learning-neural-networks-primer-basic-concepts-beginners.html	NULL	NULL		NULL		2021
25337	Python Data Science Handbook | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/	NULL	NULL		NULL		2021
25338	Ranked: 15 Python Packages for Data Science | The Data Incubator	http://blog.thedataincubator.com/2017/04/ranked-15-python-packages-for-data-science/	NULL	NULL		NULL		2021
25339	403 Forbidden	http://www.kdnuggets.com/2017/08/data-science-primer-basic-concepts-for-beginners.html	NULL	NULL		NULL		2021
25341	[Lecture] Evolution: from vanilla RNN to GRU & LSTMs | by Supervise.ly | Towards Data Science	https://medium.com/@deepsystems/lecture-evolution-from-vanilla-rnn-to-gru-lstms-58688f1da83a	NULL	NULL		NULL		2021
25342	Training road scene segmentation on Cityscapes with Supervisely, Tensorflow and UNet | by Supervise.ly | Towards Data Science	https://medium.com/towards-data-science/training-road-scene-segmentation-on-cityscapes-with-supervisely-tensorflow-and-unet-1232314781a8	NULL	NULL		NULL		2021
25343	Natural Language Understanding: Foundations and State-of-the-Art - YouTube	https://www.youtube.com/watch?v=mhHfnhh-pB4	NULL	NULL		NULL		2021
25346	Learning to select data for transfer learning	http://ruder.io/learning-select-data/	NULL	NULL		NULL		2017
25347	Why Momentum Really Works	https://distill.pub/2017/momentum/	NULL	NULL		NULL		2021
25349	Recommendation System Algorithms. Main existing recommendation engines... | by Daniil Korbut | Cube Dev	https://blog.statsbot.co/recommendation-system-algorithms-ba67f39ac9a3	NULL	NULL		NULL		2021
25352	From 2016: Why Deep Learning Is Suddenly Changing Your Life | Fortune	http://fortune.com/ai-artificial-intelligence-deep-machine-learning	NULL	NULL		NULL		2021
25379	Morphological Reinflection @ CIS	http://cistern.cis.lmu.de/med/	NULL	NULL		NULL		2021
25386	Deep Learning From Scratch: Theory and Implementation - sabinasz.net	http://www.deepideas.net/deep-learning-from-scratch-theory-and-implementation/	NULL	NULL		NULL		2021
25448	Adit Deshpande – Engineering at Forward | UCLA CS '19	https://adeshpande3.github.io/adeshpande3.github.io/How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me	NULL	NULL		NULL		2021
25456	403 Forbidden	https://blog.cloudera.com/blog/2015/12/common-probability-distributions-the-data-scientists-crib-sheet/	NULL	NULL		NULL		2021
25476	404 not found	https://einstein.ai/research/learned-in-translation-contextualized-word-vectors	NULL	NULL		NULL		2021
25480	Reuters-21578 text classification with Gensim and Keras - Giuseppe Bonaccorso	https://www.bonaccorso.eu/2016/08/02/reuters-21578-text-classification-with-gensim-and-keras/	NULL	NULL		NULL		2017
25481	403 Forbidden	https://www.bonaccorso.eu/2016/08/06/cifar-10-image-classification-with-keras-convnet/	NULL	NULL		NULL		2021
25503	Page not found · GitHub Pages	https://pair-code.github.io/deeplearnjs/	NULL	NULL		NULL		2021
25514	Google AI Blog: Launching the Speech Commands Dataset	https://research.googleblog.com/2017/08/launching-speech-commands-dataset.html	NULL	NULL		NULL		2021
25535	Welcome to Neural Monkey’s documentation! — Neural Monkey 0.1 documentation	http://neural-monkey.readthedocs.io/en/latest/	NULL	NULL		NULL		2021
25536	Neural Network Console	https://dl.sony.com/	NULL	NULL		NULL		2021
25543	GitHub - aboSamoor/polyglot: Multilingual text (NLP) processing toolkit	https://github.com/aboSamoor/polyglot	NULL	NULL		NULL		2021
25544	ISI Technical Knowledge Acquisition Project  · GitHub	https://github.com/ISI-TechknAcq	NULL	NULL		NULL		2021
25562	ConvAI3: Clarifying Questions for Open-Domain Dialogue Systems (ClariQ) by DeepPavlov	http://convai.io/data/	NULL	NULL		NULL		2021
25568	Train-O-Matic	http://trainomatic.org/	NULL	NULL		NULL		2021
25582	Chatbots: Theory and Practice	https://www.linkedin.com/pulse/chatbots-theory-practice-jonathan-mugan/	NULL	NULL		NULL		2021
25583	GitHub - handcraftsman/GeneticAlgorithmsWithPython: source code from the book Genetic Algorithms with Python by Clinton Sheppard	https://github.com/handcraftsman/GeneticAlgorithmsWithPython	NULL	NULL		NULL		2021
25584	Not Acceptable!	http://www.theprojectspot.com/tutorial-post/introduction-to-artificial-neural-networks-part-2-learning/8	NULL	NULL		NULL		2021
25585	Not Acceptable!	http://www.theprojectspot.com/tutorial-post/introduction-to-artificial-neural-networks-part-1/7	NULL	NULL		NULL		2021
25586	Not Acceptable!	http://www.theprojectspot.com/tutorial-post/simulated-annealing-algorithm-for-beginners/6	NULL	NULL		NULL		2021
25587	Error 404 (Page not found)!!1	http://genetic-algorithms-explained.appspot.com/	NULL	NULL		NULL		2021
27774	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/blob/master/syntaxnet/g3doc/conll2017/README.md	NULL	NULL		NULL		2021
30605	403 - Forbidden	https://blogs.nvidia.com/ai-podcast/	NULL	NULL		NULL		2021
37652	Deep Learning for Siria???s Voice: On-device Deep Mixture Density Networks for Hybrid Unit Selection Synthesis - Apple Machine Learning Research	https://machinelearning.apple.com/2017/08/06/siri-voices.html	NULL	NULL		NULL		2021
37653	GitHub - yell/mnist-challenge: My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]	https://github.com/monsta-hd/ml-mnist	NULL	NULL		NULL		2021
37654	Google AI Blog: Build your own Machine Learning Visualizations with the new TensorBoard API	https://research.googleblog.com/2017/09/build-your-own-machine-learning.html	NULL	NULL		NULL		2021
37655	Tutorial: Making Road Traffic Counting App based on Computer Vision and OpenCV | by Andrey Nikishaev | Machine Learning World | Medium	https://medium.com/@a.nikishaev/tutorial-making-road-traffic-counting-app-based-on-computer-vision-and-opencv-166937911660	NULL	NULL		NULL		2021
37657	GitHub - rasbt/python-machine-learning-book-2nd-edition: The "Python Machine Learning (2nd edition)" book code repository and info resource	https://github.com/rasbt/python-machine-learning-book-2nd-edition	NULL	NULL		NULL		2021
37660	NLP Town	http://nlp.town/blog/song-of-ngrams-and-lms/	NULL	NULL		NULL		2021
37661	NLP Town	http://nlp.town/blog/anything2vec/	NULL	NULL		NULL		2021
37662	An overview of Most Popular Deep Learning Framework : TensorFlow	https://www.datasciencelearner.com/an-overview-of-most-popular-deep-learning-framework-tensorflow/	NULL	NULL		NULL		2021
37663	403 Forbidden	https://www.displayr.com/using-t-sne-to-visualize-data-before-prediction/	NULL	NULL		NULL		2021
37664	Learn Naive Bayes Algorithm | Naive Bayes Classifier Examples	https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/	NULL	NULL		NULL		2017
37665	Semantic trees for training word embeddings with hierarchical softmax | Sep 07, 2017	https://blog.lateral.io/2017/09/semantic-trees-hierarchical-softmax/	NULL	NULL		NULL		2021
37666	Crosslingual document comparison | Aug 31, 2017	https://blog.lateral.io/2017/08/crosslingual-document-comparison/	NULL	NULL		NULL		2021
37667	A fastText-based hybrid recommender | Sep 27, 2016	https://blog.lateral.io/2016/09/fasttext-based-hybrid-recommender/	NULL	NULL		NULL		2021
37668	Similar pages for Wikipedia (Legacy) | May 23, 2016	https://blog.lateral.io/2016/05/similar-pages-wikipedia/	NULL	NULL		NULL		2021
37669	The arXiv as Dataset | Jul 12, 2015	https://blog.lateral.io/2015/07/harvesting-research-arxiv/	NULL	NULL		NULL		2021
37670	Exploring Bloomberg Public Company Data | Jul 10, 2015	https://blog.lateral.io/2015/07/exploring-bloomberg-public-company-data/	NULL	NULL		NULL		2021
37672	StarSpace/README.md at master · facebookresearch/StarSpace · GitHub	https://github.com/facebookresearch/Starspace/raw/master/README.md	NULL	NULL		NULL		2021
37673	Object Detection with Deep Learning: The Definitive Guide | Tryolabs Blog	https://tryolabs.com/blog/2017/08/30/object-detection-an-overview-in-the-age-of-deep-learning/	NULL	NULL		NULL		2021
37674	Faster AI: Lesson 7 — TL;DR version of Fast.ai Part 1 | by Kshitiz Rimal | Deep Learning Journal | Medium	https://medium.com/deep-learning-journals/faster-ai-lesson-7-tl-dr-version-of-fast-ai-part-1-731ecd946833	NULL	NULL		NULL		2021
37675	Faster AI: Lesson 6— TL;DR version of Fast.ai Part 1 | by Kshitiz Rimal | Deep Learning Journal | Medium	https://medium.com/deep-learning-journals/faster-ai-lesson-6-tl-dr-version-of-fast-ai-part-1-6c88995380eb	NULL	NULL		NULL		2021
37676	Faster AI: Lesson 5 — TL;DR version of Fast.ai Part 1 | by Kshitiz Rimal | Deep Learning Journal | Medium	https://medium.com/deep-learning-journals/faster-ai-lesson-5-tl-dr-version-of-fast-ai-part-1-59a6ed2f9b5f	NULL	NULL		NULL		2021
37677	Understanding gradient descent - Eli Bendersky's website	http://eli.thegreenplace.net/2016/understanding-gradient-descent/	NULL	NULL		NULL		2021
37679	Computing Your Skill	http://www.moserware.com/2010/03/computing-your-skill.html	NULL	NULL		NULL		2021
37681	GitHub - glample/tagger: Named Entity Recognition Tool	https://github.com/glample/tagger	NULL	NULL		NULL		2021
37682	Cross- Validation Code Visualization: Kind of Fun | by SAGAR SHARMA | Towards Data Science	https://medium.com/towards-data-science/cross-validation-code-visualization-kind-of-fun-b9741baea1f8	NULL	NULL		NULL		2021
37683	Google AI Blog: The Google Brain Team’s Approach to Research	https://research.googleblog.com/2017/09/the-google-brain-teams-approach-to.html	NULL	NULL		NULL		2021
37685	PAIR: the People + AI Research Initiative	https://www.blog.google/topics/machine-learning/pair-people-ai-research-initiative/	NULL	NULL		NULL		2021
37686	AI: Big Expectations (Ju?rgen Schmidhuber, President at IDSIA) | DLD16 - YouTube	https://www.youtube.com/watch?v=Ya9YfYveFXA	NULL	NULL		NULL		2021
37687	PixelNN	http://www.cs.cmu.edu/~aayushb/pixelNN/	NULL	NULL		NULL		2021
37688	Pattern- A Web Mining Tool for Python	https://www.techleer.com/articles/314-pattern-a-web-mining-tool-for-python/	NULL	NULL		NULL		2021
37689	403 Forbidden	https://eng.uber.com/michelangelo/	NULL	NULL		NULL		2021
37690	Please Wait... | Cloudflare	https://schoolofdata.org/handbook/	NULL	NULL		NULL		2021
38855	StarSpace/README.md at master · facebookresearch/StarSpace · GitHub	https://github.com/facebookresearch/Starspace/blob/master/README.md	NULL	NULL		NULL		2021
39784	403 Forbidden	https://www.bonaccorso.eu/2017/09/28/linearly-separable-no-for-me-it-is-a-brief-introduction-to-kernel-methods/	NULL	NULL		NULL		2021
39788	VisualGenome	http://visualgenome.org/	NULL	NULL		NULL		2021
39799	CMO by Adobe	http://www.cmo.com/features/articles/2017/8/24/15-mindblowing-stats-about-artificial-intelligence-dmexco.html	NULL	NULL		NULL		2021
39838	GitHub - danqi/rc-cnn-dailymail: CNN/Daily Mail Reading Comprehension Task	https://github.com/danqi/rc-cnn-dailymail	NULL	NULL		NULL		2021
39845	GitHub - qinwf/jiebaR: Chinese text segmentation with R.  R?????? (????? ???? :https://qinwenfeng.com/jiebaR/ )	https://github.com/qinwf/jiebaR	NULL	NULL		NULL		2021
39861	GitHub - explosion/sense2vec: ???? Contextually-keyed word vectors	https://github.com/explosion/sense2vec	NULL	NULL		NULL		2021
39874	GitHub - airalcorn2/Deep-Semantic-Similarity-Model: My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.micr	https://github.com/airalcorn2/Deep-Semantic-Similarity-Model	NULL	NULL		NULL		2021
39896	403 Forbidden	https://www.bonaccorso.eu/2017/10/03/a-brief-and-comprehensive-guide-to-stochastic-gradient-descent-algorithms/	NULL	NULL		NULL		2021
39900	403 Forbidden	https://www.bonaccorso.eu/2017/09/25/pca-rubner-tavan-networks/	NULL	NULL		NULL		2021
39931	403 Forbidden	https://nlp.stanford.edu/data/crosswikis-data.tar.bz2/	NULL	NULL		NULL		2021
39932	404	https://www.crowdflower.com/wp-content/uploads/2016/03/Key-phrases-DFE-794640.csv	NULL	NULL		NULL		2021
39933	404	https://www.crowdflower.com/wp-content/uploads/2016/03/sentiment-words-DFE-785960.csv	NULL	NULL		NULL		2021
39934	Confidence to Deploy AI with World-Class Training Data	https://www.crowdflower.com/wp-content/uploads/2016/03/socialmedia-disaster-tweets-DFE.csv	NULL	NULL		NULL		2021
39935	404	https://www.crowdflower.com/wp-content/uploads/2016/03/drug-relation-dfe.csv	NULL	NULL		NULL		2021
39936	404	https://www.crowdflower.com/wp-content/uploads/2016/03/objective-sentence-truths-DFE.csv	NULL	NULL		NULL		2021
39937	404	https://www.crowdflower.com/wp-content/uploads/2016/03/Is-A-DFE.csv	NULL	NULL		NULL		2021
39938	404	https://www.crowdflower.com/wp-content/uploads/2016/03/News-article-wikipedia-DFE.csv	NULL	NULL		NULL		2021
39939	Confidence to Deploy AI with World-Class Training Data	https://www.crowdflower.com/wp-content/uploads/2016/03/Airline-Sentiment-2-w-AA.csv	NULL	NULL		NULL		2021
39940	404	https://www.crowdflower.com/wp-content/uploads/2014/12/Semantic-Relation-DFE.csv	NULL	NULL		NULL		2021
39941	404	https://www.crowdflower.com/wp-content/uploads/2016/03/agreement-sentence-agreement-DFE.csv	NULL	NULL		NULL		2021
39942	404	https://www.crowdflower.com/wp-content/uploads/2016/03/1384367562_colors_in_9_langages.csv	NULL	NULL		NULL		2021
39943	404	https://www.crowdflower.com/wp-content/uploads/2016/03/1377882923_sentence_pairs.csv	NULL	NULL		NULL		2021
39944	404	https://www.crowdflower.com/wp-content/uploads/2016/03/image-descriptions-DFE.csv	NULL	NULL		NULL		2021
39949	reddit: the front page of the internet	https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/	NULL	NULL		NULL		2021
39950	1.9GB of Urban Dictionary definitions (1999 - May 2016) : datasets	https://www.reddit.com/r/datasets/comments/63spoc/19gb_of_urban_dictionary_definitions_1999_may_2016/	NULL	NULL		NULL		2021
39957	404 not found	https://einstein.ai/research/the-wikitext-long-term-dependency-language-modeling-dataset	NULL	NULL		NULL		2021
39962	Page not found - DBpedia Association	http://wiki.dbpedia.org/Datasets	NULL	NULL		NULL		2021
39963	Westbury Lab Web Site: Reduced Redundancy USENET Corpus Download	http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html	NULL	NULL		NULL		2021
39983	BNfinder · PyPI	https://pypi.python.org/pypi/BNfinder	NULL	NULL		NULL		2015
39984	Not Acceptable!	http://www.pomdp.org/	NULL	NULL		NULL		2021
39988	pymdptoolbox · PyPI	https://pypi.python.org/pypi/pymdptoolbox	NULL	NULL		NULL		2015
39989	GitHub - siemanko/tensorflow-deepq: A deep Q learning demonstration using Google Tensorflow	https://github.com/siemanko/tensorflow-deepq	NULL	NULL		NULL		2021
39990	WaveNet launches in the Google Assistant | DeepMind	https://deepmind.com/blog/wavenet-launches-google-assistant/	NULL	NULL		NULL		2021
39998	summarization · GitHub	https://github.com/summarization	NULL	NULL		NULL		2021
40002	403 Forbidden	https://www.bonaccorso.eu/2017/10/06/ml-algorithms-addendum-passive-aggressive-algorithms/	NULL	NULL		NULL		2021
40031	Page Not Found	https://deeplearnjs.org/demos/performance_rnn/#2|2,0,1,0,1,1,0,1,0,1,0,1|1,1,1,1,1,1,1,1,1,1,1,1|1,1,1,1,1,1,1,1,1,1,1,1|0	NULL	NULL		NULL		2021
40033	Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy · GitHub	https://gist.github.com/karpathy/d4dee566867f8291f086	NULL	NULL		NULL		2021
40034	An efficient, batched LSTM. · GitHub	https://gist.github.com/karpathy/587454dc0146a6ae21fc	NULL	NULL		NULL		2021
40035	Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels · GitHub	https://gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5	NULL	NULL		NULL		2021
40053	natural language processing blog: Bias in ML, and Teaching AI	https://nlpers.blogspot.com/2016/11/bias-in-ml-and-teaching-ai.html	NULL	NULL		NULL		2021
40073	Google AI Blog: Supercharge your Computer Vision models with the TensorFlow Object Detection API	https://research.googleblog.com/2017/06/supercharge-your-computer-vision-models.html	NULL	NULL		NULL		2021
40097	Page not found · GitHub · GitHub	https://github.com/tensorflow/models/tree/master/research/textsum	NULL	NULL		NULL		2021
40104		https://storage.googleapis.com/wikipedia_multilingual_relations_v1/README.txt	NULL	NULL		NULL		2021
40105	Page not found · GitHub · GitHub	https://github.com/mrt033/word2vec	NULL	NULL		NULL		2021
40116	GitHub - dongwookim-ml/python-topic-model: Implementation of various topic models	https://github.com/arongdari/python-topic-model	NULL	NULL		NULL		2021
40121	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/versions/master/tutorials/audio_recognition	NULL	NULL		NULL		2021
40125	Google Code Archive - Long-term storage for Google Code Project Hosting.	https://code.google.com/archive/p/mate-tools/	NULL	NULL		NULL		2021
40142	410 account suspended — Medium	https://medium.com/@nxp251/image-recognition-with-keras-2-0-ae897b228f8c	NULL	NULL		NULL		2021
40158	Page not found – DiscoverText	https://discovertext.com/2016/12/28/fake-news-detection-a-twitter-data-challenge-for-students/	NULL	NULL		NULL		2021
40200	Ethnologue: Languages of the World	https://www.ethnologue.com/	NULL	NULL		NULL		2021
40202	A survey of cross-lingual word embedding models	http://ruder.io/cross-lingual-embeddings/	NULL	NULL		NULL		2016
40207	Index of /multilingual	http://128.2.220.95/multilingual	NULL	NULL		NULL		2021
40217	GitHub - wammar/incremental-word2vec: Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.	https://github.com/wammar/incremental-word2vec	NULL	NULL		NULL		2021
40220	PyTorch implementation of a sequence labeler (POS taggger). · GitHub	https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232	NULL	NULL		NULL		2021
40225	Google AI Blog: Announcing AVA: A Finely Labeled Video Dataset for Human Action Understanding	https://research.googleblog.com/2017/10/announcing-ava-finely-labeled-video.html	NULL	NULL		NULL		2021
40245	GitHub - thedataincubator/data-science-blogs: A Handful of D(u)S(t)	https://github.com/thedataincubator/data-science-blogs/	NULL	NULL		NULL		2021
40271	403 Forbidden	https://www.bonaccorso.eu/2017/10/22/a-glimpse-into-self-organizing-maps-som/	NULL	NULL		NULL		2021
40282	GitHub - kevintee/gibbs-sampling-demo: Intro to Gibbs Sampling for Mixture Models	https://github.com/kevintee/gibbs-sampling-demo	NULL	NULL		NULL		2021
40291	Page not found · GitHub · GitHub	https://github.com/fastai/fastai/raw/master/tutorials/linalg_pytorch.ipynb	NULL	NULL		NULL		2021
40303	Painless Q-Learning Tutorial implementation in Python http://mnemstudio.org/path-finding-q-learning-tutorial.htm · GitHub	https://gist.github.com/kastnerkyle/d127197dcfdd8fb888c2	NULL	NULL		NULL		2021
40304	404 Error | Deeplearning4j	https://deeplearning4j.org/reinforcementlearning	NULL	NULL		NULL		2021
40314	pretrained.ml	http://pretrained.ml/	NULL	NULL		NULL		2021
40319	Page not found · GitHub · GitHub	https://github.com/tensorflow/lattice/raw/master/g3doc/tutorial/index.md	NULL	NULL		NULL		2021
40321	py-mate-tools · TestPyPI	https://testpypi.python.org/pypi/py-mate-tools	NULL	NULL		NULL		2015
40334	nl2bash/encoder_decoder at master · TellinaTool/nl2bash · GitHub	https://github.com/TellinaTool/awesome_nmt/tree/master/encoder_decoder	NULL	NULL		NULL		2021
40350	Error 404 (Not Found)!!1	https://research.google.com/colaboratory/unregistered.html	NULL	NULL		NULL		2021
40353	403 Forbidden	https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/	NULL	NULL		NULL		2021
40367	Page not found · GitHub · GitHub	https://github.com/naokishibuya/deep-learning/raw/master/python/Visualizing%20Convolutional%20Layers.ipynb	NULL	NULL		NULL		2021
40382	OpenAI Gym	https://gym.openai.com/evaluations/eval_4VyQBhXMRLmG9y9MQA5ePA/	NULL	NULL		NULL		2021
40385	404 Not Found	http://www.adampease.org/OP/	NULL	NULL		NULL		2021
40392	how-to-make-a-racist-ai-without-really-trying.ipynb · GitHub	https://gist.github.com/rspeer/ef750e7e407e04894cb3b78a82d66aed	NULL	NULL		NULL		2021
40398	403 - University of York	https://www.cs.york.ac.uk/semeval-2012/task6/data/uploads/datasets/	NULL	NULL		NULL		2021
40399	Error 404 - Not Found	https://www.microsoft.com/en-us/download/confirmation.aspx?id=52422	NULL	NULL		NULL		2021
40402	404 Not Found	http://nlp.cs.illinois.edu/HockenmaierGroup/pascal-sentences/index.html	NULL	NULL		NULL		2021
40403	404 Not Found	http://nlp.cs.illinois.edu/HockenmaierGroup/8k-pictures.html	NULL	NULL		NULL		2021
40408	Max-Planck-Institut fu?r Informatik: YAGO	https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/#c10444	NULL	NULL		NULL		2021
40420	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/get_started/mnist/pros	NULL	NULL		NULL		2021
40421	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/get_started/mnist/beginners	NULL	NULL		NULL		2021
40429	Everything you need to know about Neural Networks | by Mate Labs | HackerNoon.com | Medium	https://medium.com/@matelabs_ai/everything-you-need-to-know-about-neural-networks-8988c3ee4491	NULL	NULL		NULL		2021
40433	403 Forbidden	http://projects.csail.mit.edu/church/wiki/Patterns_of_Inference	NULL	NULL		NULL		2021
40437	Google AI Blog: AutoML for large scale image classification and object detection	https://research.googleblog.com/2017/11/automl-for-large-scale-image.html	NULL	NULL		NULL		2021
40462	Google AI Blog: Tangent: Source-to-Source Debuggable Derivatives	https://research.googleblog.com/2017/11/tangent-source-to-source-debuggable.html	NULL	NULL		NULL		2021
40469	404 not found	https://einstein.ai/research/non-autoregressive-neural-machine-translation	NULL	NULL		NULL		2021
40470	404 not found	https://einstein.ai/research/weighted-transformer	NULL	NULL		NULL		2021
40490	404 not found	https://einstein.ai/research/your-tldr-by-an-ai-a-deep-reinforced-model-for-abstractive-summarization	NULL	NULL		NULL		2021
40530	404 Not Found	http://lacito.vjf.cnrs.fr/pangloss	NULL	NULL		NULL		2021
40536	Google AI Blog: On-Device Conversational Modeling with TensorFlow Lite	https://research.googleblog.com/2017/11/on-device-conversational-modeling-with.html	NULL	NULL		NULL		2021
40537	Google Developers Blog:  Announcing TensorFlow Lite	https://developers.googleblog.com/2017/11/announcing-tensorflow-lite.html	NULL	NULL		NULL		2021
40549	Google AI Blog: SLING: A Natural Language Frame Semantic Parser	https://research.googleblog.com/2017/11/sling-natural-language-frame-semantic.html	NULL	NULL		NULL		2021
40558	Python Graph Gallery	https://python-graph-gallery.com/	NULL	NULL		NULL		2021
40585	welcome_tutorials/pytorch at master · mila-iqia/welcome_tutorials · GitHub	https://github.com/mila-udem/welcome_tutorials/tree/master/pytorch	NULL	NULL		NULL		2021
40586	Page not found · GitHub · GitHub	https://github.com/mila-udem/welcome_tutorials/raw/master/A2017/tensorflow.ipynb	NULL	NULL		NULL		2021
40587	Page not found · GitHub · GitHub	https://github.com/mila-udem/welcome_tutorials/raw/master/A2017/tensorflow_exercise_solution.py	NULL	NULL		NULL		2021
40592	Release v2.0.0 · cleverhans-lab/cleverhans · GitHub	https://github.com/tensorflow/cleverhans/releases/tag/v2.0.0	NULL	NULL		NULL		2021
40601	Download Microsoft Speech Language Translation (MSLT) Corpus from Official Microsoft Download Center	https://www.microsoft.com/en-us/download/details.aspx?id=54689	NULL	NULL		NULL		2021
40609	A small sequence labeler in DyNet · GitHub	https://gist.github.com/neubig/7d874d327e7d700bb609479f6cf359bb	NULL	NULL		NULL		2021
40617	Page not found · GitHub · GitHub	https://github.com/pymc-devs/pymc3/raw/master/docs/source/notebooks/bayesian_neural_network_advi.ipynb	NULL	NULL		NULL		2021
40630	Google AI Blog: Understanding Medical Conversations	https://research.googleblog.com/2017/11/understanding-medical-conversations.html	NULL	NULL		NULL		2021
40636	404 Not Found	http://www.cs.princeton.edu/~andyz/pacmanRL	NULL	NULL		NULL		2021
40637	Access denied | xrds.acm.org used Cloudflare to restrict access	http://xrds.acm.org/blog/2016/06/convolutional-neural-networks-cnns-illustrated-explanation/	NULL	NULL		NULL		2021
40661	GitHub - ujjwalkarn/DataScienceR: a curated list of R tutorials for Data Science, NLP and Machine Learning	https://github.com/ujjwalkarn/DataScienceR	NULL	NULL		NULL		2021
40676	GitHub - tensorflow/tfjs-core: WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.	https://github.com/PAIR-code/deeplearnjs	NULL	NULL		NULL		2021
40684	Simple reinforcement learning methods to learn CartPole	http://kvfrans.com/simple-algoritms-for-solving-cartpole/	NULL	NULL		NULL		2016
40708	Kaggle Blog – Medium	http://blog.kaggle.com/2017/11/27/introduction-to-neural-networks/	NULL	NULL		NULL		2020
40711	Luminoth: Open source toolkit for Computer Vision	https://luminoth.ai/	NULL	NULL		NULL		2021
40721	sacrebleu · PyPI	https://pypi.python.org/pypi/sacrebleu/1.1.7	NULL	NULL		NULL		2017
40742	403 Forbidden	http://www.cyc.com/platform/researchcyc/	NULL	NULL		NULL		2021
40748	Expectation-Maximization	https://danieltakeshi.github.io/2015-07-18-expectation-maximization/	NULL	NULL		NULL		2021
40756	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/api_guides/python/reading_data	NULL	NULL		NULL		2021
40761	TensorFlow.js | Machine Learning for Javascript Developers	https://deeplearnjs.org/	NULL	NULL		NULL		2021
40792	turicreate/README.md at main · apple/turicreate · GitHub	https://github.com/apple/turicreate/raw/master/README.md	NULL	NULL		NULL		2021
40793	Distributed representation of anything | by Joshua Kim | Towards Data Science	https://towardsdatascience.com/distributed-representation-of-anything-14e290daf975	NULL	NULL		NULL		2021
40794	Another Twitter sentiment analysis with Python — Part 1 | by Ricky Kim | Towards Data Science	https://towardsdatascience.com/another-twitter-sentiment-analysis-bb5b01ebad90	NULL	NULL		NULL		2021
40795	Implementing Poincare? Embeddings | RARE Technologies	https://rare-technologies.com/implementing-poincare-embeddings/	NULL	NULL		NULL		2017
40796	People have drawn one billion doodles in Quick, Draw!	https://www.blog.google/topics/machine-learning/quick-draw-one-billion-drawings-around-world/	NULL	NULL		NULL		2021
40797	Applying deep learning to real-world problems | by Rasmus Rothe | merantix | Medium	https://medium.com/merantix/applying-deep-learning-to-real-world-problems-ba2d86ac5837	NULL	NULL		NULL		2021
40798	GitHub - reiinakano/xcessiv: A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.	https://github.com/reiinakano/xcessiv	NULL	NULL		NULL		2021
40799	Deep learning for natural language processing, Part 1	https://softwaremill.com/deep-learning-for-nlp/	NULL	NULL		NULL		2021
40800	Deep learning for natural language processing, Part 2	https://softwaremill.com/deep-learning-for-nlp2/	NULL	NULL		NULL		2021
40801	Using Word2vec for Music Recommendations | by Ramzi Karam | Towards Data Science	https://towardsdatascience.com/using-word2vec-for-music-recommendations-bb9649ac2484	NULL	NULL		NULL		2021
40802	Guided Alignment Training for Topic-Aware Neural Machine Translation | by Synced | SyncedReview | Medium	https://medium.com/@Synced/guided-alignment-training-for-topic-aware-neural-machine-translation-1531bbd4d404	NULL	NULL		NULL		2021
40806	Training Word2Vec Model on English Wikipedia by Gensim – Text Mining Online	http://textminingonline.com/training-word2vec-model-on-english-wikipedia-by-gensim	NULL	NULL		NULL		2015
40807	GitHub - hgrif/wiki-word2vec: Train a gensim word2vec model on Wikipedia.	https://github.com/hgrif/wiki-word2vec	NULL	NULL		NULL		2021
40808	How to Develop Word Embeddings in Python with Gensim	https://machinelearningmastery.com/develop-word-embeddings-python-gensim/	NULL	NULL		NULL		2021
40809	403 Forbidden	https://machinelearningmastery.com/crash-course-deep-learning-natural-language-processing/0;136;0c	NULL	NULL		NULL		2021
40810	How to Develop a Character-Based Neural Language Model in Keras	https://machinelearningmastery.com/develop-character-based-neural-language-model-keras/	NULL	NULL		NULL		2021
40811	How to Develop a Word-Level Neural Language Model and Use it to Generate Text	https://machinelearningmastery.com/how-to-develop-a-word-level-neural-language-model-in-keras/	NULL	NULL		NULL		2021
40812	403 Forbidden	https://machinelearningmastery.com/develop-word-based-neural-language-models-python-keras/	NULL	NULL		NULL		2021
40813	How to Develop an Encoder-Decoder Model for Sequence-to-Sequence Prediction in Keras	https://machinelearningmastery.com/develop-encoder-decoder-model-sequence-sequence-prediction-keras/	NULL	NULL		NULL		2021
40814	403 Forbidden	https://machinelearningmastery.com/statistical-language-modeling-and-neural-language-models/	NULL	NULL		NULL		2021
40815	How to Develop an Encoder-Decoder Model with Attention in Keras	https://machinelearningmastery.com/encoder-decoder-attention-sequence-to-sequence-prediction-keras/	NULL	NULL		NULL		2021
40816	How to Clean Text for Machine Learning with Python	https://machinelearningmastery.com/clean-text-machine-learning-python/	NULL	NULL		NULL		2021
40817	403 Forbidden	https://machinelearningmastery.com/best-practices-document-classification-deep-learning/	NULL	NULL		NULL		2021
40818	403 Forbidden	https://machinelearningmastery.com/define-encoder-decoder-sequence-sequence-model-neural-machine-translation-keras/	NULL	NULL		NULL		2021
40819	Deep Convolutional Neural Network for Sentiment Analysis (Text Classification)	https://machinelearningmastery.com/develop-word-embedding-model-predicting-movie-review-sentiment/	NULL	NULL		NULL		2021
40820	403 Forbidden	https://machinelearningmastery.com/global-attention-for-encoder-decoder-recurrent-neural-networks/	NULL	NULL		NULL		2021
40821	403 Forbidden	https://machinelearningmastery.com/deep-learning-caption-generation-models/	NULL	NULL		NULL		2021
40822	403 Forbidden	https://machinelearningmastery.com/gentle-introduction-text-summarization/	NULL	NULL		NULL		2021
40823	403 Forbidden	https://machinelearningmastery.com/encoder-decoder-deep-learning-models-text-summarization/	NULL	NULL		NULL		2021
40824	403 Forbidden	https://machinelearningmastery.com/how-does-attention-work-in-encoder-decoder-recurrent-neural-networks/	NULL	NULL		NULL		2021
40825	What Are Word Embeddings for Text?	https://machinelearningmastery.com/what-are-word-embeddings/	NULL	NULL		NULL		2021
40826	How to Encode Text Data for Machine Learning with scikit-learn	https://machinelearningmastery.com/prepare-text-data-machine-learning-scikit-learn/	NULL	NULL		NULL		2021
40827	403 Forbidden	https://machinelearningmastery.com/promise-deep-learning-natural-language-processing/	NULL	NULL		NULL		2021
40828	What Is Natural Language Processing?	https://machinelearningmastery.com/natural-language-processing/	NULL	NULL		NULL		2021
40829	403 Forbidden	https://machinelearningmastery.com/primer-neural-network-models-natural-language-processing/	NULL	NULL		NULL		2021
40830	403 Forbidden	https://machinelearningmastery.com/rnn-unrolling/	NULL	NULL		NULL		2021
40832	Recurrent Neural Network | Fundamentals Of Deep Learning	https://www.analyticsvidhya.com/blog/2017/12/introduction-to-recurrent-neural-networks/	NULL	NULL		NULL		2017
40833	GitHub - naturomics/SCAN-tensorflow: A Tensorflow implementation of DeepMind's Symbol-Concept Association Network(SCAN: Learning Abstract Hierarchical Compositional Visual Concepts)	https://github.com/naturomics/SCAN-tensorflow	NULL	NULL		NULL		2021
40837	Google AI Blog: Tacotron 2: Generating Human-like Speech from Text	https://research.googleblog.com/2017/12/tacotron-2-generating-human-like-speech.html?m=1	NULL	NULL		NULL		2021
40841	Introducing tf-seq2seq: An Open Source Sequence-to-Sequence Framework in TensorFlow | Google Open Source Blog	https://opensource.googleblog.com/2017/04/tf-seq2seq-sequence-to-sequence-framework-in-tensorflow.html	NULL	NULL		NULL		2021
40844	Google AI Blog: Improving End-to-End Models For Speech Recognition	https://research.googleblog.com/2017/12/improving-end-to-end-models-for-speech.html	NULL	NULL		NULL		2021
40849	vanishing_gradients/vanishing_gradients.html at master · sleebapaul/vanishing_gradients · GitHub	https://github.com/sleebapaul/vanishing_gradients/raw/master/vanishing_gradients.html	NULL	NULL		NULL		2021
40856	410 account suspended — Medium	https://codeburst.io/a-guide-to-nlp-a-confluence-of-ai-and-linguistics-2786c56c0749	NULL	NULL		NULL		2021
40864	404 not found	https://einstein.ai/research/hierarchical-reinforcement-learning	NULL	NULL		NULL		2021
40865	404 not found	https://einstein.ai/research/domain-specific-language-for-automated-rnn-architecture-search	NULL	NULL		NULL		2021
40884	410 Deleted by author — Medium	https://medium.com/@prakhar.mishra/evaluating-the-quality-of-translation-5b6708d4838a	NULL	NULL		NULL		2021
40885	Understanding CapsNet (Part 1). Convolutional Neural Network (CNN or... | by kamalkumar | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/understanding-capsnet-part-1-e274943a018d	NULL	NULL		NULL		2021
40886	A short introduction to NLP in Python with spaCy | by Conor Mc. | Towards Data Science	https://towardsdatascience.com/a-short-introduction-to-nlp-in-python-with-spacy-d0aa819af3ad	NULL	NULL		NULL		2021
40888	Research Vignette: Promise and Limitations of Generative Adversarial Nets (GANs) | Simons Institute for the Theory of Computing	https://simons.berkeley.edu/news/research-vignette-promise-and-limitations-generative-adversarial-nets-gans	NULL	NULL		NULL		2021
40889	Support Vector Machine | SVM Classification Algorithm	https://www.analyticsvidhya.com/blog/2014/10/support-vector-machine-simplified/	NULL	NULL		NULL		2014
40890	GitHub - facebookresearch/MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings	https://github.com/facebookresearch/MUSE	NULL	NULL		NULL		2021
40891	How does the [current] best question answering model work? | by Simeon Kostadinov | Towards Data Science	https://towardsdatascience.com/how-the-current-best-question-answering-model-works-8bbacf375e2a	NULL	NULL		NULL		2021
40892	OpenML	https://www.openml.org/	NULL	NULL		NULL		2021
40893	GitHub - EpistasisLab/pmlb: PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.	https://github.com/EpistasisLab/penn-ml-benchmarks	NULL	NULL		NULL		2021
40894	From Perceptron to Deep Neural Nets | by Adi Chris | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/from-perceptron-to-deep-neural-nets-504b8ff616e	NULL	NULL		NULL		2021
40895	Word embeddings: exploration, explanation, and exploitation (with code in Python) | by Halyna Oliinyk | Towards Data Science	https://towardsdatascience.com/word-embeddings-exploration-explanation-and-exploitation-with-code-in-python-5dac99d5d795	NULL	NULL		NULL		2021
40896	GitHub - dgrtwo/tidy-text-mining: Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson	https://github.com/dgrtwo/tidy-text-mining	NULL	NULL		NULL		2021
40897	Various Implementations of Collaborative Filtering | by Prince Grover | Towards Data Science	https://towardsdatascience.com/various-implementations-of-collaborative-filtering-100385c6dfe0	NULL	NULL		NULL		2021
40898	403 Forbidden	https://machinelearningmastery.com/caption-generation-inject-merge-architectures-encoder-decoder-model/	NULL	NULL		NULL		2021
40899	GitHub - flashlight/wav2letter: Facebook AI Research's Automatic Speech Recognition Toolkit	https://github.com/facebookresearch/wav2letter	NULL	NULL		NULL		2021
40900	openslr.org	http://www.openslr.org/12	NULL	NULL		NULL		2021
40901	AI and Deep Learning in 2017 – A Year in Review – WildML	http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/	NULL	NULL		NULL		2017
40902	GitHub - Xtra-Computing/thundersvm: ThunderSVM: A Fast SVM Library on GPUs and CPUs	https://github.com/zeyiwen/thundersvm	NULL	NULL		NULL		2021
40903	GitHub - vincentherrmann/pytorch-wavenet: An implementation of WaveNet with fast generation	https://github.com/vincentherrmann/pytorch-wavenet	NULL	NULL		NULL		2021
40904	py-thesaurus · PyPI	https://pypi.python.org/pypi/py-thesaurus/	NULL	NULL		NULL		2018
40905	GitHub - jacobgil/pytorch-zssr: PyTorch implementation of 1712.06087  "Zero-Shot" Super-Resolution using Deep Internal Learning	https://github.com/jacobgil/pytorch-zssr	NULL	NULL		NULL		2021
40907	GitHub - Hezi-Resheff/Oreilly-Learning-TensorFlow	https://github.com/Hezi-Resheff/Oreilly-Learning-TensorFlow	NULL	NULL		NULL		2021
40908	GitHub - pyro-ppl/pyro: Deep universal probabilistic programming with Python and PyTorch	https://github.com/uber/pyro	NULL	NULL		NULL		2021
40910	Probability concepts explained: Bayesian inference for parameter estimation. | by Jonny Brooks-Bartlett | Towards Data Science	https://towardsdatascience.com/probability-concepts-explained-bayesian-inference-for-parameter-estimation-90e8930e5348	NULL	NULL		NULL		2021
40911	Shannon entropy in the context of machine learning and AI | by Frank Preiswerk | The Startup | Medium	https://medium.com/swlh/shannon-entropy-in-the-context-of-machine-learning-and-ai-24aee2709e32	NULL	NULL		NULL		2021
40912	Training and Visualising Word Vectors | by Priya Dwivedi | Towards Data Science	https://towardsdatascience.com/training-and-visualising-word-vectors-2f946c6430f8	NULL	NULL		NULL		2021
40913	Continuous Numeric Data. Strategies for working with continuous... | by Dipanjan (DJ) Sarkar | Towards Data Science	https://towardsdatascience.com/understanding-feature-engineering-part-1-continuous-numeric-data-da4e47099a7b	NULL	NULL		NULL		2021
40914	410 Deleted by author — Medium	https://medium.com/@james_aka_yale/the-8-neural-network-architectures-machine-learning-researchers-need-to-learn-2f5c4e61aeeb	NULL	NULL		NULL		2021
40915	GitHub - sleebapaul/res_nets_tutorial: A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.	https://github.com/sleebapaul/res_nets_tutorial	NULL	NULL		NULL		2021
40916	GitHub - gram-ai/capsule-networks: A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".	https://github.com/gram-ai/capsule-networks	NULL	NULL		NULL		2021
40917	Understanding Principal Component Analysis | by Rishav Kumar | Medium	https://medium.com/@aptrishu/understanding-principle-component-analysis-e32be0253ef0	NULL	NULL		NULL		2021
40919	GitHub - jungokasai/graph_parser: SOTA TAG Parser	https://github.com/jungokasai/graph_parser	NULL	NULL		NULL		2021
40920	GitHub - devendrachaplot/DeepRL-Grounding: Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)	https://github.com/devendrachaplot/DeepRL-Grounding	NULL	NULL		NULL		2021
40921	Deep Learning Trading and Hedge Funds | Toptal	https://www.toptal.com/deep-learning/deep-learning-trading-hedge-funds	NULL	NULL		NULL		2021
40922	GitHub - apple/turicreate: Turi Create simplifies the development of custom machine learning models.	https://github.com/apple/turicreate	NULL	NULL		NULL		2021
40923	Demos/DESM.ipynb at master · bmitra-msft/Demos · GitHub	https://github.com/bmitra-msft/Demos/raw/master/notebooks/DESM.ipynb	NULL	NULL		NULL		2021
40924	NDRM/Duet.ipynb at master · bmitra-msft/NDRM · GitHub	https://github.com/bmitra-msft/NDRM/raw/master/notebooks/Duet.ipynb	NULL	NULL		NULL		2021
40925	Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG) | by Kung-Hsiang, Huang (Steeve) | Towards Data Science	https://towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-i-q-learning-sarsa-dqn-ddpg-72a5e0cb6287	NULL	NULL		NULL		2021
40926	GitHub - JunYeopLee/capsule-networks: A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)	https://github.com/JunYeopLee/capsule-networks	NULL	NULL		NULL		2021
40927	Another Twitter sentiment analysis with Python-Part 2 | by Ricky Kim | Towards Data Science	https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-2-333514854913	NULL	NULL		NULL		2021
40928	Another Twitter sentiment analysis with Python — Part 3 (Zipf’s Law, data visualisation) | by Ricky Kim | Towards Data Science	https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7	NULL	NULL		NULL		2021
40929	Another Twitter sentiment analysis with Python — Part 4 (Count vectorizer, confusion matrix) | by Ricky Kim | Towards Data Science	https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5	NULL	NULL		NULL		2021
40930	Another Twitter sentiment analysis with Python — Part 5 (Tfidf vectorizer, model comparison, lexical approach) | by Ricky Kim | Towards Data Science	https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-5-50b4e87d9bdd	NULL	NULL		NULL		2021
40931	Deriving the Sigmoid Derivative for Neural Networks - nick becker	https://beckernick.github.io/sigmoid-derivative-neural-network/	NULL	NULL		NULL		2017
40932	Analysis Of Variance (ANOVA) | Introduction, Types & Techniques	https://www.analyticsvidhya.com/blog/2018/01/anova-analysis-of-variance/	NULL	NULL		NULL		2018
40934	Fitting larger networks into memory. | by Yaroslav Bulatov | TensorFlow | Medium	https://medium.com/@yaroslavvb/fitting-larger-networks-into-memory-583e3c758ff9	NULL	NULL		NULL		2021
40935	GitHub - NTMC-Community/MatchZoo: Facilitating the design, comparison and sharing of deep text matching models.	https://github.com/faneshion/MatchZoo	NULL	NULL		NULL		2021
40936	Sense2vec with spaCy and Gensim · Explosion	https://explosion.ai/blog/sense2vec-with-spacy	NULL	NULL		NULL		2016
40937	Freeze Tensorflow models and serve on web – CV-Tricks.com	http://cv-tricks.com/how-to/freeze-tensorflow-models/	NULL	NULL		NULL		2021
40938	Deep Learning for Natural Language Processing – Part I - Trifork Blog	https://blog.trifork.com/2018/01/03/deep-learning-for-natural-language-processing-part-i/	NULL	NULL		NULL		2021
40939	Deep Learning for Natural Language Processing – Part II - Trifork Blog	https://blog.trifork.com/2018/01/15/deep-learning-for-natural-language-processing-part-ii/	NULL	NULL		NULL		2021
40940	Building Variational Auto-Encoders in TensorFlow	https://danijar.com/building-variational-auto-encoders-in-tensorflow/	NULL	NULL		NULL		2021
40942	Python Cheatsheet | R Cheatsheet For Machine Learning	https://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/	NULL	NULL		NULL		2015
40944	Text Classification Using Vowpal Wabbit|Online Learning Guide	https://www.analyticsvidhya.com/blog/2018/01/online-learning-guide-text-classification-vowpal-wabbit-vw/	NULL	NULL		NULL		2018
40945	MATLAB for Deep Learning - MATLAB & Simulink	https://www.mathworks.com/solutions/deep-learning/examples.html	NULL	NULL		NULL		2021
40946	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/optim_1_gradient_descent.ipynb	NULL	NULL		NULL		2021
40947	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/ml_1_pca_nn.ipynb	NULL	NULL		NULL		2021
40948	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/ml_2_regression.ipynb	NULL	NULL		NULL		2021
40949	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/ml_3_classification.ipynb	NULL	NULL		NULL		2021
40950	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/ml_4_sgd.ipynb	NULL	NULL		NULL		2021
40951	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/gpeyre/numerical-tours/blob/master/python/ml_5_nn.ipynb	NULL	NULL		NULL		2021
40952	Introduction to LSTMs with TensorFlow a??? Oa???Reilly	https://www.oreilly.com/ideas/introduction-to-lstms-with-tensorflow	NULL	NULL		NULL		2021
40953	GitHub - garretthoffman/lstm-oreilly: How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.	https://github.com/GarrettHoffman/lstm-oreilly	NULL	NULL		NULL		2021
40955	Accelerating Deep Neural Networks with Tensor Decompositions	https://jacobgil.github.io/deeplearning/tensor-decompositions-deep-learning	NULL	NULL		NULL		2021
40956	Machine Learning Part-1. This post is part of a series covering... | by Akash Kandpal | codeburst	https://codeburst.io/machine-learning-day-1-d35749ef05c2	NULL	NULL		NULL		2021
40957	Machine Learning Part-2. This post is part of a series covering... | by Akash Kandpal | codeburst	https://codeburst.io/machine-learning-day-1-60bd231d0660	NULL	NULL		NULL		2021
40958	Machine Learning Part-3. This post is part of a series covering... | by Akash Kandpal | codeburst	https://codeburst.io/machine-learning-part-3-fb2f26c92c0b	NULL	NULL		NULL		2021
40959	Machine Learning Part-4. This post is part of a series covering... | by Akash Kandpal | codeburst	https://codeburst.io/machine-learning-part-4-6f285d68cf48	NULL	NULL		NULL		2021
40960	Machine Learning Part-5. This post is part of a series covering... | by Akash Kandpal | codeburst	https://codeburst.io/machine-learning-part-5-d2b4b80ccbf4	NULL	NULL		NULL		2021
40961	Under the hood: Multilingual embeddings - Facebook Engineering	https://code.facebook.com/posts/550719898617409/under-the-hood-multilingual-embeddings/	NULL	NULL		NULL		2018
41004	Page not found · GitHub · GitHub	https://github.com/aapatel09/GANs_simpleExample/raw/master/simpleGANs.ipynb	NULL	NULL		NULL		2021
41005	404 Not Found	http://homepages.inf.ed.ac.uk/s1049478/easyccg.html	NULL	NULL		NULL		2021
41010		http://parrt.cs.usfca.edu/doc/matrix-calculus/index.html	NULL	NULL		NULL		2021
41041	404 Error | Deeplearning4j	https://deeplearning4j.org/deepreinforcementlearning	NULL	NULL		NULL		2021
41090	Ordinary Least Squares Regression explained visually	http://setosa.io/ev/ordinary-least-squares-regression/	NULL	NULL		NULL		2021
41100		http://www.cs.cmu.edu/~dmortens/uriel.html	NULL	NULL		NULL		2021
41123	Bayesian Unsupervised Topic Segmentation	http://groups.csail.mit.edu/rbg/code/bayesseg/	NULL	NULL		NULL		2021
41140	Page not found - Deep Learning Indaba	http://www.deeplearningindaba.com/practicals.html	NULL	NULL		NULL		2021
41141	403 Forbidden	https://www.kdnuggets.com/2018/02/data-science-command-line-book-exploring-data.html	NULL	NULL		NULL		2021
41142	GitHub - jeroenjanssens/data-science-at-the-command-line: Data Science at the Command Line	https://github.com/jeroenjanssens/data-science-at-the-command-line	NULL	NULL		NULL		2021
41143	Data Science at the Command Line	https://www.datascienceatthecommandline.com/	NULL	NULL		NULL		2021
41145	Text REtrieval Conference (TREC) trec_eval	http://trec.nist.gov/trec_eval/	NULL	NULL		NULL		2021
41147	reddit: the front page of the internet	https://www.reddit.com/r/science/comments/7yegux/aaas_ama_hi_were_researchers_from_google/	NULL	NULL		NULL		2021
41148	marian-nmt · GitHub	https://github.com/marian-nmt	NULL	NULL		NULL		2021
41189	Page not found · GitHub · GitHub	https://github.com/mila-udem/ecolehiver2018/raw/master/Tutoriaux/Hiver18_0308_tutorial_rnn_lstm.ipynb	NULL	NULL		NULL		2021
41190	Page not found · GitHub · GitHub	https://github.com/mila-udem/ecolehiver2018/raw/master/Tutoriaux/CNN/CNN_version_a_completer.ipynb	NULL	NULL		NULL		2021
41192	A Practical Introduction to Web Scraping in Python – Real Python	https://realpython.com/blog/python/python-web-scraping-practical-introduction/	NULL	NULL		NULL		2021
41193	GitHub - arogozhnikov/python3_with_pleasure: A short guide on features of Python 3 with examples	https://github.com/arogozhnikov/python3_with_pleasure	NULL	NULL		NULL		2021
41205	AMS :: Feature Column :: Neural Nets and How They Learn	http://www.ams.org/publicoutreach/feature-column/fc-2018-03	NULL	NULL		NULL		2021
41228	summerschool2017/notebooks at master · mila-iqia/summerschool2017 · GitHub	https://github.com/mila-udem/summerschool2017/tree/master/notebooks	NULL	NULL		NULL		2021
41236	Demos	http://ml4a.github.io/demos/	NULL	NULL		NULL		2021
41243	Best Budget Car Stereos 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/02/08/a-comprehensive-tutorial-to-torchtext/	NULL	NULL		NULL		2021
41244	Best 6.5 Inch Car Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/03/02/regularization-techniques-for-natural-language-processing-with-code-examples/	NULL	NULL		NULL		2021
41254	TextBlob: Simplified Text Processing — TextBlob 0.16.0 documentation	https://textblob.readthedocs.io/en/dev/	NULL	NULL		NULL		2021
41289	GitHub - arthchan2003/AIDL_KB: A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)	https://github.com/arthchan2003/AIDL_KB	NULL	NULL		NULL		2021
41297	DZone	https://dzone.com/articles/breakthrough-research-papers-and-models-for-sentimhttps://dzone.com/articles/breakthrough-research-papers-and-models-for-sentim	NULL	NULL		NULL		2021
41340	404 Not Found	http://homepages.inf.ed.ac.uk/jmitche7/share	NULL	NULL		NULL		2021
41369	Chapter 7.1 : Neural network from scratch in python | by Madhu Sanjeevi ( Mady ) | Deep Math Machine learning.ai | Medium	https://medium.com/deep-math-machine-learning-ai/chapter-7-1-neural-network-from-scratch-in-python-b880b0ff5f7b	NULL	NULL		NULL		2021
41401	artificialbrain.xyz	http://www.artificialbrain.xyz/artificial-intelligence-complete-lectures-01-23/	NULL	NULL		NULL		2021
41459	Ow! -- reddit.com	https://www.reddit.com/r/MachineLearning/comments/40ldq6/generative_adversarial_networks_for_text/	NULL	NULL		NULL		2021
41494	Tutorial: Neural Networks	https://www.byclb.com/TR/Tutorials/neural_networks/	NULL	NULL		NULL		2021
41495	Intro_to_ML_Lecture_Note/notebook/labs at master · nyu-dl/Intro_to_ML_Lecture_Note · GitHub	https://github.com/nyu-dl/Intro_to_ML_Lecture_Note/tree/master/notebook/labs	NULL	NULL		NULL		2021
41496	Google AI Blog: Chat Smarter with Allo	https://research.googleblog.com/2016/05/chat-smarter-with-allo.html	NULL	NULL		NULL		2021
41499	A Comparative Analysis of ChatBots APIs | ActiveWizards: data science and engineering lab	https://activewizards.com/blog/a-comparative-analysis-of-chatbots-apis/	NULL	NULL		NULL		2021
41574	404 Page not found | Imad Dabbura	https://imaddabbura.github.io/blog/machine%20learning/deep%20learning/2018/04/08/coding-neural-network-gradient-checking.html	NULL	NULL		NULL		2021
41575	404 Page not found | Imad Dabbura	https://imaddabbura.github.io/blog/machine%20learning/deep%20learning/2018/02/22/character-level-language-model.html	NULL	NULL		NULL		2021
41576	404 Page not found | Imad Dabbura	https://imaddabbura.github.io/blog/machine%20learning/deep%20learning/2018/04/01/coding-neural-network-fwd-back-prop.html	NULL	NULL		NULL		2021
41577	404 Page not found | Imad Dabbura	https://imaddabbura.github.io/blog/machine%20learning/deep%20learning/2018/04/20/coding-neural-network-parameters-initialization.html	NULL	NULL		NULL		2021
41607	Python Programming Tutorials	https://pythonprogramming.net/pickle-classifier-save-nltk-tutorial/	NULL	NULL		NULL		2021
41623	Best Tweeters For Car 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/04/29/paper-dissected-glove-global-vectors-for-word-representation-explained/	NULL	NULL		NULL		2021
41630	Best Turntables Under $200 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2017/12/28/an-intuitive-explanation-of-variational-autoencoders-vaes-part-1/	NULL	NULL		NULL		2021
41632		http://mlexplained.com/2017/12/28/an-introduction-to-the-math-of-variational-autoencoders-vaes-part-2/	NULL	NULL		NULL		2021
41634	Best Car Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2017/12/28/an-overview-of-sentence-embedding-methods/	NULL	NULL		NULL		2021
41636	Best Car Stereos 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2017/12/28/how-to-write-a-web-crawler-in-python-with-examples/	NULL	NULL		NULL		2021
41642	practical-machine-learning-with-python/Feature Engineering Text Data - Advanced Deep Learning Strategies.ipynb at master · dipanjanS/practical-machine-learning-with-python · GitHub	https://github.com/dipanjanS/practical-machine-learning-with-python/raw/master/bonus%20content/feature%20engineering%20text%20data/Feature%20Engineering%20Text%20Data%20-%20Advanced%20Deep%20Learning%	NULL	NULL		NULL		2021
41644	Learn Python for Data Science	https://www.listendata.com/2017/05/python-data-science.html	NULL	NULL		NULL		2021
41654	Best Home Theatre Systems Under 500$ 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/02/02/an-introduction-to-second-order-optimization-for-deep-learning-practitioners-basic-math-for-deep-learning-part-1/	NULL	NULL		NULL		2021
41669	GitHub - Yale-LILY/TutorialBank	https://github.com/Yale-LILY/TutorialBank.git	NULL	NULL		NULL		2021
41674	Page not found – machinelearning-blog.com	https://machinelearning-blog.com/2018/04/16/transfer-learning/#more-592	NULL	NULL		NULL		2021
41677	GitHub - fastai/numerical-linear-algebra: Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course	https://github.com/fastai/numerical-linear-algebra	NULL	NULL		NULL		2021
41714	Google AI Blog: Advances in Semantic Textual Similarity	https://ai.googleblog.com/2018/05/advances-in-semantic-textual-similarity.html	NULL	NULL		NULL		2021
41756	The Ultimate Guide To Speech Recognition With Python – Real Python	https://realpython.com/python-speech-recognition/	NULL	NULL		NULL		2021
41757	404: Page not found · fast.ai NLP	http://nlp.fast.ai/classification/2018/05/15/introducting-ulmfit.html	NULL	NULL		NULL		2021
41785	410 account suspended — Medium	https://towardsdatascience.com/activation-functions-and-its-types-which-is-better-a9a5310cc8f	NULL	NULL		NULL		2021
41802	Chun's Machine Learning Page	https://chunml.github.io/ChunML.github.io/project/Creating-Text-Generator-Using-Recurrent-Neural-Network/	NULL	NULL		NULL		2018
41808	Google AI Blog: Text summarization with TensorFlow	https://ai.googleblog.com/2016/08/text-summarization-with-tensorflow.html	NULL	NULL		NULL		2021
41814	The Glowing Python: Text summarization with NLTK	https://glowingpython.blogspot.com/2014/09/text-summarization-with-nltk.html	NULL	NULL		NULL		2021
41865	Page Not Found - Wilker Aziz	http://wilkeraziz.github.io/pages/landscape	NULL	NULL		NULL		2021
41875	Page not found · GitHub · GitHub	https://github.com/thomasschmied/Text_Summarization_with_Tensorflow	NULL	NULL		NULL		2021
41885	Google Colaboratory	https://colab.research.google.com/drive/13aPADr8LXom87tVdybYf-yCbDSIj-b4a	NULL	NULL		NULL		2021
41928	Open Machine Learning Course. Topic 10. Gradient Boosting | by Anastasiia Manokhina | Open Machine Learning Course | Medium	https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-10-gradient-boosting-c751538131ac	NULL	NULL		NULL		2021
42085	Google AI Blog: Open sourcing the Embedding Projector: a tool for visualizing high dimensional data	https://ai.googleblog.com/2016/12/open-sourcing-embedding-projector-tool.html	NULL	NULL		NULL		2021
42203	practical-machine-learning-with-python/bonus content/nlp proven approach at master · dipanjanS/practical-machine-learning-with-python · GitHub	https://github.com/dipanjanS/practical-machine-learning-with-python/tree/master/bonus%20content/nlp%20proven%20approach	NULL	NULL		NULL		2021
42204	404 Not Found	http://konukoii.com/blog/2018/02/19/twitter-sentiment-analysis-using-combined-lstm-cnn-models/	NULL	NULL		NULL		2021
42211	404 not found	https://einstein.ai/research/the-natural-language-decathlon	NULL	NULL		NULL		2021
42219	Object not found!	http://www.columbia.edu/~ahd2125/post/2015/12/5/	NULL	NULL		NULL		2021
42220	explorations/python-autodiff at master · alanhdu/explorations · GitHub	https://github.com/alanhdu/explorations/tree/master/python-autodiff	NULL	NULL		NULL		2021
42240	Google Colaboratory	https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb	NULL	NULL		NULL		2021
42245	Download Dual Word Embeddings Trained on Bing Queries from Official Microsoft Download Center	https://www.microsoft.com/en-us/download/details.aspx?id=52597	NULL	NULL		NULL		2021
42246	Download Dataset for Inferring Missing Entity Type Instances for Knowledge Base Completion from Official Microsoft Download Center	https://www.microsoft.com/en-us/download/confirmation.aspx?id=52589	NULL	NULL		NULL		2021
42247	Download Microsoft Research Paraphrase Phrase Tables from Official Microsoft Download Center	https://www.microsoft.com/en-us/download/confirmation.aspx?id=52536	NULL	NULL		NULL		2021
42303	410 Deleted by author — Medium	https://blog.yellowant.com/natural-language-to-sql-converter-b2a66196bb4c	NULL	NULL		NULL		2021
42337	Part 2/5 of Machine Learning: An In-Depth Guide	https://www.innoarchitech.com/machine-learning-an-in-depth-non-technical-guide-part-2	NULL	NULL		NULL		2016
42346	GluonNLP: NLP made easy — gluonnlp 0.10.0 documentation	http://gluon-nlp.mxnet.io/	NULL	NULL		NULL		2021
42379	The Classical Language Toolkit	http://cltk.org/	NULL	NULL		NULL		2021
42394	Probably Approximately a Scientific Blog: Deep Learning in NLP	https://veredshwartz.blogspot.com/2018/08/deep-learning-in-nlp.html	NULL	NULL		NULL		2021
42398	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/representation/kernel_methods	NULL	NULL		NULL		2021
42399	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/keras/basic_text_classification	NULL	NULL		NULL		2021
42402	Page not found · GitHub · GitHub	https://github.com/tensorflow/tensorflow/raw/master/tensorflow/contrib/eager/python/examples/generative_examples/cvae.ipynb	NULL	NULL		NULL		2021
42414	Page not found - Starting a Contractor Company - Roofing, Masonry, Tree Care And More	http://www.camdial.org/pydial/benchmarks/	NULL	NULL		NULL		2021
42423	404 Not Found	https://homes.cs.washington.edu/~eunsol/_site/open_entity.html	NULL	NULL		NULL		2021
42451	GitHub - deep-learning-indaba/indaba-2018: Practical Notebooks for the Deep Learning Indaba 2018	https://github.com/deep-learning-indaba/indaba-2018.git	NULL	NULL		NULL		2021
42467	404 not found	https://einstein.ai/research/how-to-talk-to-your-database	NULL	NULL		NULL		2021
42471	Google AI Blog: Transformer: A Novel Neural Network Architecture for Language Understanding	https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html	NULL	NULL		NULL		2021
42474	Page not found · GitHub · GitHub	https://github.com/allenai/allennlp/tree/master/tutorials	NULL	NULL		NULL		2021
42481	In Machine Learning, ReLU activation function is said to be a universal function approximation, can you show just how it is possible to approximate any continuous function by purely combining many ins	https://www.quora.com/In-Machine-Learning-ReLU-activation-function-is-said-to-be-a-universal-function-approximation-can-you-show-just-how-it-is-possible-to-approximate-any-continuous-function-by-purel	NULL	NULL		NULL		2021
42496	Think Python	http://greenteapress.com/thinkpython2/html/index.html	NULL	NULL		NULL		2021
42504	Embodied Question Answering	https://embodiedqa.org/	NULL	NULL		NULL		2021
42532	Arthur Pesah | Research blog	https://artix41.github.io/static/domain-adaptation-in-2017/index.html	NULL	NULL		NULL		2021
42536	Exploring-Machine-Learning/Classification at master · Arkady-A/Exploring-Machine-Learning · GitHub	https://github.com/Arkady-A/MachineLearning/tree/master/Classification	NULL	NULL		NULL		2021
42538	Jupyter Notebook Viewer	http://nbviewer.jupyter.org/github/roamanalytics/roamresearch/blob/master/BlogPosts/Modern_TensorFlow/modern-tensorflow.ipynb	NULL	NULL		NULL		2021
42544	Page not found · GitHub Pages	https://nlpprogress.com/asr.html	NULL	NULL		NULL		2021
42545	Page not found · GitHub Pages	https://nlpprogress.com/ccg_supertagging.html	NULL	NULL		NULL		2021
42546	Page not found · GitHub Pages	https://nlpprogress.com/chunking.html	NULL	NULL		NULL		2021
42547	Page not found · GitHub Pages	https://nlpprogress.com/constituency_parsing.html	NULL	NULL		NULL		2021
42548	Page not found · GitHub Pages	https://nlpprogress.com/coreference_resolution.html	NULL	NULL		NULL		2021
42549	Page not found · GitHub Pages	https://nlpprogress.com/dependency_parsing.html	NULL	NULL		NULL		2021
42550	Page not found · GitHub Pages	https://nlpprogress.com/dialog.html	NULL	NULL		NULL		2021
42551	Page not found · GitHub Pages	https://nlpprogress.com/domain_adaptation.html	NULL	NULL		NULL		2021
42552	Page not found · GitHub Pages	https://nlpprogress.com/entity_linking.html	NULL	NULL		NULL		2021
42553	Page not found · GitHub Pages	https://nlpprogress.com/grammatical_error_correction.html	NULL	NULL		NULL		2021
42554	Page not found · GitHub Pages	https://nlpprogress.com/information_extraction.html	NULL	NULL		NULL		2021
42555	Page not found · GitHub Pages	https://nlpprogress.com/language_modeling.html	NULL	NULL		NULL		2021
42556	Page not found · GitHub Pages	https://nlpprogress.com/lexical_normalization.html	NULL	NULL		NULL		2021
42557	Page not found · GitHub Pages	https://nlpprogress.com/machine_translation.html	NULL	NULL		NULL		2021
42558	Page not found · GitHub Pages	https://nlpprogress.com/multi-task_learning.html	NULL	NULL		NULL		2021
42559	Page not found · GitHub Pages	https://nlpprogress.com/multimodal.html	NULL	NULL		NULL		2021
42560	Page not found · GitHub Pages	https://nlpprogress.com/named_entity_recognition.html	NULL	NULL		NULL		2021
42561	Page not found · GitHub Pages	https://nlpprogress.com/natural_language_inference.html	NULL	NULL		NULL		2021
42562	Page not found · GitHub Pages	https://nlpprogress.com/part-of-speech_tagging.html	NULL	NULL		NULL		2021
42563	Page not found · GitHub Pages	https://nlpprogress.com/question_answering.html	NULL	NULL		NULL		2021
42564	Page not found · GitHub Pages	https://nlpprogress.com/relation_prediction.html	NULL	NULL		NULL		2021
42565	Page not found · GitHub Pages	https://nlpprogress.com/relationship_extraction.html	NULL	NULL		NULL		2021
42566	Page not found · GitHub Pages	https://nlpprogress.com/semantic_textual_similarity.html	NULL	NULL		NULL		2021
42567	Page not found · GitHub Pages	https://nlpprogress.com/sentiment_analysis.html	NULL	NULL		NULL		2021
42568	Page not found · GitHub Pages	https://nlpprogress.com/semantic_parsing.html	NULL	NULL		NULL		2021
42569	Page not found · GitHub Pages	https://nlpprogress.com/semantic_role_labeling.html	NULL	NULL		NULL		2021
42570	Page not found · GitHub Pages	https://nlpprogress.com/stance_detection.html	NULL	NULL		NULL		2021
42571	Page not found · GitHub Pages	https://nlpprogress.com/summarization.html	NULL	NULL		NULL		2021
42572	Page not found · GitHub Pages	https://nlpprogress.com/taxonomy_learning.html	NULL	NULL		NULL		2021
42573	Page not found · GitHub Pages	https://nlpprogress.com/temporal_processing.html	NULL	NULL		NULL		2021
42574	Page not found · GitHub Pages	https://nlpprogress.com/text_classification.html	NULL	NULL		NULL		2021
42575	Page not found · GitHub Pages	https://nlpprogress.com/word_sense_disambiguation.html	NULL	NULL		NULL		2021
42586	404 not found	https://einstein.ai/research/blog/the-natural-language-decathlon	NULL	NULL		NULL		2021
42607	Complexity Explorables  | Explorables	http://www.complexity-explorables.org/explorables/	NULL	NULL		NULL		2021
42609	Contents — skpro 1.0.0b1.post0.dev22+ng05f0df0 documentation	https://alan-turing-institute.github.io/skpro/	NULL	NULL		NULL		2021
42616	410 Deleted by author — Medium	https://medium.com/@samuellynnevans/found-in-translation-building-a-top-draw-language-translator-from-scratch-with-deep-learning-787a979ebc57	NULL	NULL		NULL		2021
42631	Page not found · GitHub · GitHub	https://github.com/allenai/allennlp/raw/master/tutorials/getting_started/semantic_parsing.md	NULL	NULL		NULL		2021
42643	Page not found · GitHub · GitHub	https://github.com/allenai/allennlp/raw/master/tutorials/how_to/elmo.md	NULL	NULL		NULL		2021
42652	Page not found · GitHub · GitHub	https://github.com/fastai/fastai/raw/master/examples/text.ipynb	NULL	NULL		NULL		2021
42668	Google Colaboratory	https://colab.research.google.com/drive/1JsdhsiJQP5JPEEGWWFtOMpQajBj4w1KA	NULL	NULL		NULL		2021
42675	410 Deleted by author — Medium	https://towardsdatascience.com/found-in-translation-building-a-top-draw-language-translator-from-scratch-with-deep-learning-787a979ebc57	NULL	NULL		NULL		2021
42689	Google Colaboratory	https://colab.research.google.com/drive/1p51HFDExl7XagWfSQE5leDQwBC6I_e3D	NULL	NULL		NULL		2021
42697	Adam — latest trends in deep learning optimization. | by Vitaly Bushaev | Towards Data Science	https://towardsdatascience.com/adam-latest-trends-in-deep-learning-optimization-6be9a291375c	NULL	NULL		NULL		2021
42700	Page not found · GitHub · GitHub	https://github.com/pukkapies/dl-imperial-maths/tree/master/pytorch-tutorialh	NULL	NULL		NULL		2021
42703	Google Colaboratory	https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/fashion_mnist.ipynb	NULL	NULL		NULL		2021
42717	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/guide/embedding	NULL	NULL		NULL		2021
42731	Practical Text Classification With Python and Keras – Real Python	https://realpython.com/python-keras-text-classification/	NULL	NULL		NULL		2021
42754	Probably Approximately a Scientific Blog: Ethical Machine Learning	https://veredshwartz.blogspot.com/2018/09/ethical-machine-learning.html	NULL	NULL		NULL		2021
42755	Probably Approximately a Scientific Blog: Fun with lyrics	https://veredshwartz.blogspot.com/2018/01/fun-with-lyrics.html	NULL	NULL		NULL		2021
42756	Probably Approximately a Scientific Blog: Ambiguity	https://veredshwartz.blogspot.com/2017/10/ambiguity.html	NULL	NULL		NULL		2021
42757	Probably Approximately a Scientific Blog: Paraphrasing	https://veredshwartz.blogspot.com/2017/08/paraphrasing.html	NULL	NULL		NULL		2021
42758	Probably Approximately a Scientific Blog: Antonymy	https://veredshwartz.blogspot.com/2016/11/antonymy.html	NULL	NULL		NULL		2021
42759	Probably Approximately a Scientific Blog: Question Answering	https://veredshwartz.blogspot.com/2016/11/question-answering.html	NULL	NULL		NULL		2021
42760	Probably Approximately a Scientific Blog: Crowdsourcing (for NLP)	https://veredshwartz.blogspot.com/2016/08/crowdsourcing-for-nlp.html	NULL	NULL		NULL		2021
42761	Probably Approximately a Scientific Blog: Linguistic Analysis of Texts	https://veredshwartz.blogspot.com/2016/06/linguistic-analysis-of-texts.html	NULL	NULL		NULL		2021
42762	Probably Approximately a Scientific Blog: Improving Hypernymy Detection	https://veredshwartz.blogspot.com/2016/05/improving-hypernymy-detection.html	NULL	NULL		NULL		2021
42763	Probably Approximately a Scientific Blog: Text Classification	https://veredshwartz.blogspot.com/2016/03/text-classification.html	NULL	NULL		NULL		2021
42764	Probably Approximately a Scientific Blog: Representing Words	https://veredshwartz.blogspot.com/2016/01/representing-words.html	NULL	NULL		NULL		2021
42765	Probably Approximately a Scientific Blog: Recommender Systems	https://veredshwartz.blogspot.com/2015/11/recommender-systems.html	NULL	NULL		NULL		2021
42766	Probably Approximately a Scientific Blog: Fun with Google Ngrams	https://veredshwartz.blogspot.com/2015/10/fun-with-google-ngrams.html	NULL	NULL		NULL		2021
42767	Probably Approximately a Scientific Blog: Translation Models	https://veredshwartz.blogspot.com/2015/09/translation-models.html	NULL	NULL		NULL		2021
42768	Probably Approximately a Scientific Blog: Language Models	https://veredshwartz.blogspot.com/2015/09/language-models.html	NULL	NULL		NULL		2021
42769	Probably Approximately a Scientific Blog: Machine Translation Overview	https://veredshwartz.blogspot.com/2015/08/machine-translation-1-overview.html	NULL	NULL		NULL		2021
42770	Probably Approximately a Scientific Blog: Probability	https://veredshwartz.blogspot.com/2015/08/probability_21.html	NULL	NULL		NULL		2021
42771	Probably Approximately a Scientific Blog: Supervised Learning	https://veredshwartz.blogspot.com/2015/08/supervised-learning.html	NULL	NULL		NULL		2021
42772	Probably Approximately a Scientific Blog: Lexical Inference	https://veredshwartz.blogspot.com/2015/07/lexical-inference.html	NULL	NULL		NULL		2021
42773	Probably Approximately a Scientific Blog: Natural Language Processing	https://veredshwartz.blogspot.com/2015/07/natural-language-processing.html	NULL	NULL		NULL		2021
42778	ML & DL Compendium 2017-2021 - Google Docs	https://docs.google.com/document/d/1wvtcwc8LOb3PZI9huQOD7UjqUoY98N5r3aQsWKNAlzk/edit	NULL	NULL		NULL		2021
42789	Google Colaboratory	https://colab.research.google.com/drive/1b522fQGUdFI8Wl840D_XsevYYdbIAlrl	NULL	NULL		NULL		2021
42816	Page not found · GitHub · GitHub	https://github.com/philschulz/VITutorial/tree/master/code	NULL	NULL		NULL		2021
42822	GitHub - yandexdataschool/nlp_course: YSDA course in Natural Language Processing	https://github.com/yandexdataschool/nlp_course	NULL	NULL		NULL		2021
42844	404 Not Found	https://www.doc.ic.ac.uk/~js4416/163/website/nlp/	NULL	NULL		NULL		2021
42867	GitHub - lil-lab/nlvr: Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sent	https://github.com/clic-lab/nlvr	NULL	NULL		NULL		2021
42868	GitHub - deep-learning-indaba/indaba-2018: Practical Notebooks for the Deep Learning Indaba 2018	https://github.com/deep-learning-indaba/indaba-2018	NULL	NULL		NULL		2021
42871	Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge	https://mml-book.github.io/	NULL	NULL		NULL		2021
42875	AllenNLP - Tutorials	https://allennlp.org/tutorials	NULL	NULL		NULL		2021
43076	The latest in Machine Learning | Papers With Code	https://paperswithcode.com/	NULL	NULL		NULL		2021
43078		http://en.diveintodeeplearning.org/	NULL	NULL		NULL		2021
43084	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/fundamentals.ipynb	NULL	NULL		NULL		2021
43085	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/intro_python.ipynb	NULL	NULL		NULL		2021
43086	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/math_review_numpy.ipynb	NULL	NULL		NULL		2021
43087	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/classification_kNN.ipynb	NULL	NULL		NULL		2021
43088	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/linear_regression.ipynb	NULL	NULL		NULL		2021
43089	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/diy_neural_network.ipynb	NULL	NULL		NULL		2021
43090	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/simple_neural_networks.ipynb	NULL	NULL		NULL		2021
43091	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/keras_classification.ipynb	NULL	NULL		NULL		2021
43092	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/convolutional_neural_networks.ipynb	NULL	NULL		NULL		2021
43093	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/transfer-learning.ipynb	NULL	NULL		NULL		2021
43094	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/recurrent_neural_networks.ipynb	NULL	NULL		NULL		2021
43095	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/sequence_to_sequence.ipynb	NULL	NULL		NULL		2021
43096	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/image-search.ipynb	NULL	NULL		NULL		2021
43097	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/image-path.ipynb	NULL	NULL		NULL		2021
43098	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/image-tsne.ipynb	NULL	NULL		NULL		2021
43099	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/audio-tsne.ipynb	NULL	NULL		NULL		2021
43100	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/text-retrieval.ipynb	NULL	NULL		NULL		2021
43102	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/neural-net-painter.ipynb	NULL	NULL		NULL		2021
43103	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/word2vec_tsne.ipynb	NULL	NULL		NULL		2021
43104	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/eigenfaces.ipynb	NULL	NULL		NULL		2021
43105	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/neural-synth.ipynb	NULL	NULL		NULL		2021
43106	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/q_learning.ipynb	NULL	NULL		NULL		2021
43107	Page not found · GitHub · GitHub	https://github.com/ml4a/ml4a-guides/tree/master/notebooks/deep_q_networks.ipynb	NULL	NULL		NULL		2021
43119	something2vec.md · GitHub	https://gist.github.com/nzw0301/333afc00bd508501268fa7bf40cafe4e	NULL	NULL		NULL		2021
43128	Google AI Blog: TF-Ranking: A Scalable TensorFlow Library for Learning-to-Rank	https://ai.googleblog.com/2018/12/tf-ranking-scalable-tensorflow-library.html	NULL	NULL		NULL		2021
43131	Deep Learning with PyTorch: A 60 Minute Blitz — PyTorch Tutorials 1.8.1+cu102 documentation	https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html	NULL	NULL		NULL		2021
43168	410 post suspended — Medium	https://towardsdatascience.com/introduction-to-sequence-models-rnn-bidirectional-rnn-lstm-gru-73927ec9df15	NULL	NULL		NULL		2021
43189	Google Colaboratory	https://colab.research.google.com/drive/17E4h5aAOioh5DiTo7MZg4hpL6Z_0FyWr	NULL	NULL		NULL		2021
43241	MLflow - A platform for the machine learning lifecycle | MLflow	https://mlflow.org/	NULL	NULL		NULL		2021
43242	TensorFlow.js | Machine Learning for Javascript Developers	https://js.tensorflow.org/	NULL	NULL		NULL		2021
43248	Google AI Blog: Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone	https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html	NULL	NULL		NULL		2021
43252	Google AI Blog: Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing	https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html	NULL	NULL		NULL		2021
43253	Page not found · GitHub · GitHub	https://github.com/OpenMined/PySyft/tree/master/examples/tutorials	NULL	NULL		NULL		2021
43264		https://twitter.com/seb_ruder/status/1040235236284669952	NULL	NULL		NULL		2021
43265	Google AI Blog: Open Sourcing Active Question Reformulation with Reinforcement Learning	https://ai.googleblog.com/2018/10/open-sourcing-active-question.html	NULL	NULL		NULL		2021
43301	[ Archived Post ] Solving Conditional Entropy Problems | by Jae Duk Seo | Medium	https://medium.com/@SeoJaeDuk/archived-post-solving-conditional-entropy-problems-91dd995c01e8	NULL	NULL		NULL		2021
43319	Binder not found	https://hub.mybinder.org/user/trekhleb-homema-achine-learning-0585r926/tree/notebooks	NULL	NULL		NULL		2021
43346	ml slides	https://csinva.github.io/pres/189/	NULL	NULL		NULL		2021
43359	machine-learning-examples/imdb-sentiment-analysis at master · aaronkub/machine-learning-examples · GitHub	https://github.com/aaronkub/machine-learning-examples/tree/master/imdb-sentiment-analysis	NULL	NULL		NULL		2021
43379	Building a search Engine with Python	http://buildsearchengine.blogspot.com/	NULL	NULL		NULL		2021
43380	Best Car Subwoofers Under 100$ 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2019/01/07/paper-dissected-bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-explained/	NULL	NULL		NULL		2021
43382	DZone	https://dzone.com/articles/nlp-tutorial-using-python-nltk-simple-examples	NULL	NULL		NULL		2021
43383	Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other 	https://gist.github.com/aparrish/2f562e3737544cf29aaf1af30362f469	NULL	NULL		NULL		2021
43437	Slideshare (3): Unsupervised Transfer Learning Methods	https://ireneli.eu/2018/07/19/slideshare-unsupervised-transfer-learning-methods/	NULL	NULL		NULL		2018
43438	Transfer Learning Materials	https://ireneli.eu/2018/08/09/transfer-learning-materials/	NULL	NULL		NULL		2018
43439	Slideshare (4): A brief Introduction on Transfer Learning	https://ireneli.eu/2018/09/13/slideshare-4-a-brief-introduction-on-transfer-learning/	NULL	NULL		NULL		2018
43444	Best Budget Subwoofer Car 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/06/15/paper-dissected-deep-contextualized-word-representations-explained/	NULL	NULL		NULL		2021
43445	Best Turntables Under 1000$ 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/04/09/paper-dissected-quasi-recurrent-neural-networks-explained/	NULL	NULL		NULL		2021
43446	Best 6.75-inch Car Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2017/12/29/attention-is-all-you-need-explained/	NULL	NULL		NULL		2021
43447	Best Home Theater System Under $2000 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2017/12/28/a-practical-introduction-to-nmf-nonnegative-matrix-factorization/	NULL	NULL		NULL		2021
43448	Besst 6 By 9 Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/11/30/an-overview-of-normalization-methods-in-deep-learning/	NULL	NULL		NULL		2021
43449	Best Car Subwoofers Under 300$ 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/09/14/paper-dissected-visualizing-data-using-t-sne-explained/	NULL	NULL		NULL		2021
43450	Best 6.75-inch Car Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2018/02/15/language-modeling-tutorial-in-torchtext-practical-torchtext-part-2/	NULL	NULL		NULL		2021
43481	403 Forbidden	https://eng.uber.com/poet-open-ended-deep-learning/	NULL	NULL		NULL		2021
43487	Redirecting...	https://statnlp.github.io/rl4nmt	NULL	NULL		NULL		2021
43490	Kaggle Blog – Medium	http://blog.kaggle.com/2018/01/18/an-intuitive-introduction-to-generative-adversarial-networks/	NULL	NULL		NULL		2020
43503	410 Deleted by author — Medium	https://towardsdatascience.com/using-machine-learning-to-build-better-machine-learning-62c08678f508	NULL	NULL		NULL		2021
43507	410 account suspended — Medium	https://medium.com/@aniruddha.choudhury94/sentiment-classification-with-natural-language-processing-on-lstm-4dc0497c1f19	NULL	NULL		NULL		2021
43516	Google Colaboratory	https://colab.research.google.com/github/lexfridman/mit-deep-learning/blob/master/tutorial_deep_learning_basics/deep_learning_basics.ipynb	NULL	NULL		NULL		2021
43566	Google AI Blog: Transformer-XL: Unleashing the Potential of Attention Models	https://ai.googleblog.com/2019/01/transformer-xl-unleashing-potential-of.html	NULL	NULL		NULL		2021
43574	torchtext — torchtext 0.4.0 documentation	https://torchtext.readthedocs.io/en/latest/	NULL	NULL		NULL		2021
43582	Google Colaboratory	https://colab.research.google.com/drive/1uFJBO1pgsiFwCGIJwZlhUzaJ2srDbtw-	NULL	NULL		NULL		2021
43593	Graph-to-Sequence | Papers With Code	https://paperswithcode.com/task/graph-to-sequence	NULL	NULL		NULL		2021
43596	Multimodal Machine Translation | Papers With Code	https://paperswithcode.com/task/multimodal-machine-translation	NULL	NULL		NULL		2021
43597	Low-Resource Neural Machine Translation | Papers With Code	https://paperswithcode.com/task/low-resource-neural-machine-translation	NULL	NULL		NULL		2021
43598	Legal Document Translation | Papers With Code	https://paperswithcode.com/task/legal-document-translation	NULL	NULL		NULL		2021
43600	Sentence Pair Modeling | Papers With Code	https://paperswithcode.com/task/sentence-pair-modeling	NULL	NULL		NULL		2021
43605		https://paperswithcode.com/task/babi-question-answering	NULL	NULL		NULL		2021
43606	Sentiment Analysis | Papers With Code	https://paperswithcode.com/task/sentiment-analysis	NULL	NULL		NULL		2021
43607	Multimodal Sentiment Analysis | Papers With Code	https://paperswithcode.com/task/multimodal-sentiment-analysis	NULL	NULL		NULL		2021
43613	Data-to-Text Generation | Papers With Code	https://paperswithcode.com/task/data-to-text-generation	NULL	NULL		NULL		2021
43615	Spelling Correction | Papers With Code	https://paperswithcode.com/task/spelling-correction	NULL	NULL		NULL		2021
43616	Natural Language Processing | Papers With Code	https://paperswithcode.com/area/nlp/text-generation	NULL	NULL		NULL		2021
43618	Text Classification | Papers With Code	https://paperswithcode.com/task/text-classification	NULL	NULL		NULL		2021
43620	Cross-Lingual Natural Language Inference | Papers With Code	https://paperswithcode.com/task/cross-lingual-natural-language-inference	NULL	NULL		NULL		2021
43623	Multi-Hop Reading Comprehension | Papers With Code	https://paperswithcode.com/task/multi-hop-reading-comprehension	NULL	NULL		NULL		2021
43625	Medical Named Entity Recognition | Papers With Code	https://paperswithcode.com/task/medical-named-entity-recognition	NULL	NULL		NULL		2021
43627	Cross-Domain Named Entity Recognition | Papers With Code	https://paperswithcode.com/task/cross-domain-named-entity-recognition	NULL	NULL		NULL		2021
43634	Natural Language Processing | Papers With Code	https://paperswithcode.com/area/nlp/text-summarization	NULL	NULL		NULL		2021
43636	Sentence Embedding | Papers With Code	https://paperswithcode.com/task/sentence-embedding	NULL	NULL		NULL		2021
43638	Joint Multilingual Sentence Representations | Papers With Code	https://paperswithcode.com/task/joint-multilingual-sentence-representati	NULL	NULL		NULL		2021
43648	Transition-Based Dependency Parsing | Papers With Code	https://paperswithcode.com/task/transition-based-dependency-parsing	NULL	NULL		NULL		2021
43653	Dependency Grammar Induction | Papers With Code	https://paperswithcode.com/task/dependency-grammar-induction	NULL	NULL		NULL		2021
43657	Topic Models | Papers With Code	https://paperswithcode.com/task/topic-models	NULL	NULL		NULL		2021
43667	Cross-Lingual Semantic Textual Similarity | Papers With Code	https://paperswithcode.com/task/cross-lingual-semantic-textual-similarit	NULL	NULL		NULL		2021
43680	Dialogue State Tracking | Papers With Code	https://paperswithcode.com/task/dialogue-state-tracking	NULL	NULL		NULL		2021
43689	Task-Completion Dialogue Policy Learning | Papers With Code	https://paperswithcode.com/task/task-completion-dialogue-policy-learning	NULL	NULL		NULL		2021
43691	Natural Language Processing | Papers With Code	https://paperswithcode.com/area/nlp/dialogue	NULL	NULL		NULL		2021
43697	Relational Reasoning | Papers With Code	https://paperswithcode.com/task/relational-reasoning	NULL	NULL		NULL		2021
43700	Argument Mining | Papers With Code	https://paperswithcode.com/task/argument-mining	NULL	NULL		NULL		2021
43702	Parallel Corpus Mining | Papers With Code	https://paperswithcode.com/task/parallel-corpus-mining	NULL	NULL		NULL		2021
43703	Sequential Pattern Mining | Papers With Code	https://paperswithcode.com/task/sequential-pattern-mining	NULL	NULL		NULL		2021
43705	Data Mining | Papers With Code	https://paperswithcode.com/task/data-mining	NULL	NULL		NULL		2021
43710	Relation Classification | Papers With Code	https://paperswithcode.com/task/relation-classification	NULL	NULL		NULL		2021
43716		https://paperswithcode.com/task/slot-filling-in-spoken-language-understa	NULL	NULL		NULL		2021
43722	Cross-Lingual Document Classification | Papers With Code	https://paperswithcode.com/task/cross-lingual-document-classification	NULL	NULL		NULL		2021
43726	Cross-Language Text Summarization | Papers With Code	https://paperswithcode.com/task/cross-language-text-summarization	NULL	NULL		NULL		2021
43727	Cross-Lingual | Papers With Code	https://paperswithcode.com/task/cross-lingual	NULL	NULL		NULL		2021
43740	Morphological Tagging | Papers With Code	https://paperswithcode.com/task/morphological-tagging	NULL	NULL		NULL		2021
43742	AMR Parsing | Papers With Code	https://paperswithcode.com/task/amr-parsing	NULL	NULL		NULL		2021
43744	Hate Speech Detection | Papers With Code	https://paperswithcode.com/task/hate-speech-detection	NULL	NULL		NULL		2021
43753	Open Information Extraction | Papers With Code	https://paperswithcode.com/task/open-information-extraction	NULL	NULL		NULL		2021
43757	Semantic Composition | Papers With Code	https://paperswithcode.com/task/semantic-composition	NULL	NULL		NULL		2021
43759	Cross-Lingual Bitext Mining | Papers With Code	https://paperswithcode.com/task/cross-lingual-bitext-mining	NULL	NULL		NULL		2021
43768	Natural Language Transduction | Papers With Code	https://paperswithcode.com/task/natural-language-transduction	NULL	NULL		NULL		2021
43770		https://paperswithcode.com/task/concept-prerequisite-relations	NULL	NULL		NULL		2021
43774	Text Clustering | Papers With Code	https://paperswithcode.com/task/text-clustering	NULL	NULL		NULL		2021
43780	Abstract Argumentation | Papers With Code	https://paperswithcode.com/task/abstract-argumentation	NULL	NULL		NULL		2021
43782	Rumour Detection | Papers With Code	https://paperswithcode.com/task/rumour-detection	NULL	NULL		NULL		2021
43784	Cross-Domain Text Classification | Papers With Code	https://paperswithcode.com/task/cross-domain-text-classification	NULL	NULL		NULL		2021
43789	Abuse Detection | Papers With Code	https://paperswithcode.com/task/abuse-detection	NULL	NULL		NULL		2021
43790	Entity Resolution | Papers With Code	https://paperswithcode.com/task/entity-resolution	NULL	NULL		NULL		2021
43795	Abstract Anaphora Resolution | Papers With Code	https://paperswithcode.com/task/abstract-anaphora-resolution	NULL	NULL		NULL		2021
43797	Overlapping Mention Recognition | Papers With Code	https://paperswithcode.com/task/overlapping-mention-recognition	NULL	NULL		NULL		2021
43799	Multi-Labeled Relation Extraction | Papers With Code	https://paperswithcode.com/task/multi-labeled-relation-extraction	NULL	NULL		NULL		2021
43801	Action Parsing | Papers With Code	https://paperswithcode.com/task/action-parsing	NULL	NULL		NULL		2021
43802	Complex Word Identification | Papers With Code	https://paperswithcode.com/task/complex-word-identification	NULL	NULL		NULL		2021
43808	Browse the State-of-the-Art in Machine Learning | Papers With Code	https://paperswithcode.com/sota	NULL	NULL		NULL		2021
43826	pytorch-sentiment-analysis/1 - Simple Sentiment Analysis.ipynb at master · bentrevett/pytorch-sentiment-analysis · GitHub	https://github.com/bentrevett/pytorch-sentiment-analysis/raw/master/1 - Simple Sentiment Analysis.ipynb	NULL	NULL		NULL		2021
43841	404 Not Found	http://www.ai.univ-paris8.fr/~mh/DEA/nn/neural.html	NULL	NULL		NULL		2021
43842	Error 404 (Page not found)!!1	https://google-developers.appspot.com/machine-learning/crash-course/backprop-scroll/	NULL	NULL		NULL		2021
43868	410 post suspended — Medium	https://towardsdatascience.com/types-of-optimization-algorithms-used-in-neural-networks-and-ways-to-optimize-gradient-95ae5d39529f	NULL	NULL		NULL		2021
43869	404 Page not found | IsaacChanghau	https://isaacchanghau.github.io/post/loss_functions/	NULL	NULL		NULL		2021
43907	Page not found - Techgrabyte	https://techgrabyte.com/recurrent-neural-network-example-applications/	NULL	NULL		NULL		2021
43938	Introduction to Deep Learning	https://chokkan.github.io/deeplearning/	NULL	NULL		NULL		2021
43951	GitHub - svishnu88/DLwithPyTorch: Code to accompany my upcoming  book "Deep learning with PyTorch Book " from Packt	https://github.com/svishnu88/DLwithPyTorch	NULL	NULL		NULL		2021
44005	Site is not available	https://missinglink.ai/guides/neural-network-concepts/neural-network-bias-bias-neuron-overfitting-underfitting/	NULL	NULL		NULL		2021
44007	451 Not available — Medium	https://medium.com/@garvitanand11/top-10-machine-learning-algorithms-2a9a3e1bdaff	NULL	NULL		NULL		2021
44020	Google Colaboratory	https://colab.research.google.com/github/tensorflow/lingvo/blob/master/codelabs/introduction.ipynb	NULL	NULL		NULL		2021
44030	Google Colaboratory	https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb	NULL	NULL		NULL		2021
44065	Error 404 Not Found | Stanford Artificial Intelligence Laboratory	http://ai.stanford.edu/blog/beyond_local_pattern_matching/	NULL	NULL		NULL		2021
44083	404 Not Found	https://ai.stanford.edu/blog/beyond_local_pattern_matching/	NULL	NULL		NULL		2021
44095	410 account suspended — Medium	https://medium.com/@anishsingh20/logistic-regression-in-python-423c8d32838b	NULL	NULL		NULL		2021
44138	404: File not found	https://michielstock.github.io/ConvexSummary/	NULL	NULL		NULL		2021
44197	Best Car Subwoofer 2021: Comparisons, Reviews & Buying guides	https://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/	NULL	NULL		NULL		2021
44200	Best Car Amplifier Brand 2021: Comparisons, Reviews & Buying guides	https://mlexplained.com/2019/02/15/building-an-lstm-from-scratch-in-pytorch-lstms-in-depth-part-1/	NULL	NULL		NULL		2021
44202		https://mlexplained.com/2018/05/04/the-personal-deep-learning-course-a-curriculum-for-becoming-a-deep-learning-practitioner/	NULL	NULL		NULL		2021
44224	Torchtext Tutorial	https://simonjisu.github.io/nlp/2018/07/18/torchtext.html	NULL	NULL		NULL		2018
44320		http://fever.ai/data.html	NULL	NULL		NULL		2021
44340	Practical_NLP_in_PyTorch/allennlp at master · keitakurita/Practical_NLP_in_PyTorch · GitHub	https://github.com/keitakurita/Practical_NLP_in_PyTorch/tree/master/allennlp	NULL	NULL		NULL		2021
44343		https://competitions.codalab.org/competitions/22194	NULL	NULL		NULL		2021
44344	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/alpha/tutorials/sequences/transformer	NULL	NULL		NULL		2021
44357	404 Not Found	http://mcts.ai/code/python.html	NULL	NULL		NULL		2021
44359	Deep Graph Library	https://www.dgl.ai/	NULL	NULL		NULL		2021
44387	GitHub - spacemanidol/MSMARCO: Utilities, Baselines, Statistics and Descriptions Related to the MSMARCO DATASET	https://github.com/dfcf93/MSMARCO	NULL	NULL		NULL		2021
44392	GitHub - aburkov/theMLbook: The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.	https://github.com/aburkov/theMLbook	NULL	NULL		NULL		2021
44406	403 Forbidden	https://www.topbots.com/generalized-language-models-cove-elmo/	NULL	NULL		NULL		2021
44409	403 Forbidden	https://www.topbots.com/generalized-language-models-ulmfit-openai-gpt/	NULL	NULL		NULL		2021
44419	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/sequences/text_generation	NULL	NULL		NULL		2021
44420	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/sequences/recurrent	NULL	NULL		NULL		2021
44421	404  |  Page Not Found  |  TensorFlow	https://www.tensorflow.org/tutorials/sequences/audio_recognition	NULL	NULL		NULL		2021
44432	Site not found · GitHub Pages	https://sakhawathsumit.github.io/sumit.log/2018/11/13/demystify-capsule-network-using-pytorch.html	NULL	NULL		NULL		2021
44438	401 Unauthorized	https://mc.ai/introduction-to-natural-language-processing-nlp-and-bias-in-ai/	NULL	NULL		NULL		2021
44445	404 Page not found | Will Merrill	https://viking-sudo-rm.github.io/nlp/2018/11/29/Capsule-Networks-for-NLP/	NULL	NULL		NULL		2021
44446	Data Science and Machine Learning : Confusion Matrix	https://manisha-sirsat.blogspot.com/2019/04/confusion-matrix.html	NULL	NULL		NULL		2021
44457	410 Deleted by author — Medium	https://medium.com/cracking-the-data-science-interview/recurrent-neural-networks-the-powerhouse-of-language-modeling-f292c918b879	NULL	NULL		NULL		2021
44460	403 Forbidden	https://www.topbots.com/variational-autoencoders-explained/	NULL	NULL		NULL		2021
44490	GitHub - dbamman/anlp19: Course repo for Applied Natural Language Processing (Spring 2019)	https://github.com/dbamman/anlp19	NULL	NULL		NULL		2021
44499	Paraphrase Generation | Papers With Code	https://paperswithcode.com/task/paraphrase-generation/codeless	NULL	NULL		NULL		2021
44501	Best Car Amplifier Brand 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2019/02/15/building-an-lstm-from-scratch-in-pytorch-lstms-in-depth-part-1/	NULL	NULL		NULL		2021
44502	Best 5 Channel Car Amplifier 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2019/05/13/a-tutorial-to-fine-tuning-bert-with-fast-ai/	NULL	NULL		NULL		2021
44503	Best Car Subwoofer 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/	NULL	NULL		NULL		2021
44505	Graph Nets Tutorial - Google Slides	https://docs.google.com/presentation/d/e/2PACX-1vSA16UYIp9wf8F9T7vEuVBE_DyO9GIJZr5rNpV3GUUtFXNs9JN7lYDiatsIQ4CzqXKg8X-kbOtdxh2U/pub	NULL	NULL		NULL		2021
44519	Medium	https://medium.com/@kushajreal/theoretical-machine-learning-advanced-course-probabilistic-and-statistical-math-part-1-f6a5b2d949a5 !	NULL	NULL		NULL		2021
44527	10 Machine Learning Algorithms And Their Amazing Application (Python & R) - Techgrabyte	https://techgrabyte.com/10-machine-learning-algorithms-application/	NULL	NULL		NULL		2021
44553	GitHub - shubham14/Deep-Learning-Pytorch: A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field	https://github.com/shubham14/Deep-Learning-Pytorch	NULL	NULL		NULL		2021
44604	Principal Component Analysis — Stepping into the details of the math | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/principal-component-analysis-101-part-1-d62aa2b0cc36	NULL	NULL		NULL		2021
44605	Probability and Statistics for Computer Vision 101 — Part 1 | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/towards-understanding-probability-and-statistics-for-computer-vision-part-1-45939a043666	NULL	NULL		NULL		2021
44606	Probability and Statistics for Computer Vision 101 — Part 2 | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/towards-understanding-probability-and-statistics-for-computer-vision-part-2-7bab5a9c5f36	NULL	NULL		NULL		2021
44607	Fourier Transform 101 — Part 1: Real Fourier Series | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/fourier-transform-101-part-1-b69ea3cb4837	NULL	NULL		NULL		2021
44609	Fourier Transform 101 — Part 2: Complex Fourier Series | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/fourier-transform-101-part-2-complex-fourier-series-934a885b3921	NULL	NULL		NULL		2021
44611	Fourier Transform 101 — Part 3: Fourier Transform | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/fourier-transform-101-part-3-fourier-transform-6def0bd2ca9b	NULL	NULL		NULL		2021
44612	Fourier Transform 101 — Part 4: Discrete Fourier Transform | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/fourier-transform-101-part-4-discrete-fourier-transform-8fc3fbb763f3	NULL	NULL		NULL		2021
44613	Fourier Transform 101 — Part 5: Fast Fourier Transform (FFT) | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/fourier-transform-101-part-5-fast-fourier-transform-fft-38c22e05ead3	NULL	NULL		NULL		2021
44614	Understanding XLNet	https://www.borealisai.com/en/blog/understanding-xlnet	NULL	NULL		NULL		2021
44615	Not Acceptable!	https://clay-atlas.com/python-stanford-corenlp/	NULL	NULL		NULL		2021
44618	Not Acceptable!	https://clay-atlas.com/python-nltk-tutorial/	NULL	NULL		NULL		2021
44624	Modern NLP for Pre-Modern Practitioners	https://www.infoq.com/presentations/nlp-practitioners/	NULL	NULL		NULL		2021
44627	GitHub - chrisalbon/code_py: A collection of well-commented code snippets for data science	https://github.com/chrisalbon/code_py	NULL	NULL		NULL		2021
44630	GitHub - chrisalbon/notes: Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.	https://github.com/chrisalbon/notes	NULL	NULL		NULL		2021
44632	A review of BERT based models. Also: some recent clues/insights into... | by Ajit Rajasekharan | Towards Data Science	https://towardsdatascience.com/a-review-of-bert-based-models-4ffdc0f15d58	NULL	NULL		NULL		2021
44641	Implementation of RNN, LSTM, and GRU | by Chandra Churh Chatterjee | Towards Data Science	https://towardsdatascience.com/implementation-of-rnn-lstm-and-gru-a4250bf6c090	NULL	NULL		NULL		2021
44642	410 Deleted by author — Medium	https://towardsdatascience.com/introducing-the-plato-research-dialogue-system-building-conversational-applications-at-ubers-fbd257a50e33	NULL	NULL		NULL		2021
44643	403 Forbidden	https://www.kdnuggets.com/2019/08/domain-specific-language-processing.html	NULL	NULL		NULL		2021
44644	wikipron · PyPI	https://pypi.org/project/wikipron/	NULL	NULL		NULL		2021
44646	Basic Deep Learning using Python+Keras - CodeProject	https://www.codeproject.com/Articles/1244956/Basic-Deep-Learning-using-PythonplusKeras	NULL	NULL		NULL		2021
44647	Cat or Not - An Image Classifier using Python and Keras - CodeProject	https://www.codeproject.com/Articles/4023566/Cat-or-Not-An-Image-Classifier-using-Python-and-Ke	NULL	NULL		NULL		2021
44648	ANNT : Recurrent neural networks - CodeProject	https://www.codeproject.com/Articles/1272354/ANNT-Recurrent-neural-networks	NULL	NULL		NULL		2021
44649	ANNT : Feed forward fully connected neural networks - CodeProject	https://www.codeproject.com/Articles/1261763/ANNT-Feed-forward-fully-connected-neural-networks	NULL	NULL		NULL		2021
44651	Step-by-Step Guide to Implement Machine Learning V - Support Vector Machine - CodeProject	https://www.codeproject.com/Articles/4064358/Step-by-Step-Guide-to-Implement-Machine-Learning-V	NULL	NULL		NULL		2021
44652	Creating a Turing Machine in Python – Part 1 - CodeProject	https://www.codeproject.com/Articles/1222216/Creating-a-Turing-Machine-in-Python-Part-2	NULL	NULL		NULL		2021
44654	Creating a Turing Machine in Python – Part 2 - CodeProject	https://www.codeproject.com/Articles/1222215/Creating-a-Turing-Machine-in-Python-Part	NULL	NULL		NULL		2021
44655	Step-by-Step Guide to Install Tensorflow 2 | by Chitta Ranjan | Towards Data Science	https://towardsdatascience.com/step-by-step-guide-to-install-tensorflow-2-0-67bc73e79b82	NULL	NULL		NULL		2021
44657	Machine Learning Tutorial #2: Training | by Adam Novotny | Coinmonks | Medium	https://medium.com/coinmonks/machine-learning-tutorial-2-training-f6f735830838	NULL	NULL		NULL		2021
44658	PyTorch Transformers welcomes RoBERTa | by elvis | dair.ai | Medium	https://medium.com/dair-ai/pytorch-transformers-welcomes-roberta-39aeb8d9d17a	NULL	NULL		NULL		2021
44659	What makes a good conversation? | Abigail See	http://www.abigailsee.com/2019/08/13/what-makes-a-good-conversation.html	NULL	NULL		NULL		2021
44660	403 Forbidden	https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks	NULL	NULL		NULL		2021
44663	K Means Clustering | K Means Clustering Algorithm in Python	https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-k-means-clustering	NULL	NULL		NULL		2019
44665	News API Demo Request - AYLIEN News API	https://developer.aylien.com/text-api-demo	NULL	NULL		NULL		2021
44666	Evolving Networks – wellecks	https://wellecks.wordpress.com/2019/07/21/evolving-networks/	NULL	NULL		NULL		2019
44667	LDAOverflow with Online LDA – wellecks	https://wellecks.wordpress.com/2014/10/26/ldaoverflow-with-online-lda/	NULL	NULL		NULL		2014
44668	Page not found – wellecks	https://wellecks.wordpress.com/2014/09/04/these-are-your-tweets-on-lda-part-i/	NULL	NULL		NULL		2021
44669	These Are Your Tweets on LDA (Part II) – wellecks	https://wellecks.wordpress.com/2014/09/06/these-are-your-tweets-on-lda-part-ii/	NULL	NULL		NULL		2014
44670	Eigenfaces and Forms – wellecks	https://wellecks.wordpress.com/2013/12/07/eigenfaces-and-forms/	NULL	NULL		NULL		2013
44672	Understanding A Recurrent Neural Network For Image Generation | Hacker Noon	https://hackernoon.com/understanding-a-recurrent-neural-network-for-image-generation-7e2f83wdg	NULL	NULL		NULL		2021
44673	Recurrent Neural Networks. Remembering what’s important | by Mahendran Venkatachalam | Towards Data Science	https://towardsdatascience.com/recurrent-neural-networks-d4642c9bc7ce	NULL	NULL		NULL		2021
44674	Language Translation with RNNs. Build a recurrent neural network (RNN)... | by Thomas Tracey | Towards Data Science	https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571	NULL	NULL		NULL		2021
44675	An Introduction to Bayesian Inference | by Neel Parekh | Towards Data Science	https://towardsdatascience.com/an-introduction-to-bayesian-inference-e6186cfc87bc	NULL	NULL		NULL		2021
44676	Named Entity Recognition | ParallelDots AI APIs	https://www.paralleldots.com/named-entity-recognition	NULL	NULL		NULL		2021
44677	Convolution: An Exploration of a Familiar Operator’s Deeper Roots | by Cody Marie Wild | Towards Data Science	https://towardsdatascience.com/convolution-a-journey-through-a-familiar-operators-deeper-roots-2e3311f23379	NULL	NULL		NULL		2021
44678	Understanding Deep Learning through Energy Landscapes | by SHAMIT BAGCHI | Medium	https://medium.com/@shamitb/understanding-deep-learning-through-energy-landscapes-ab46fbb5abed	NULL	NULL		NULL		2021
44679	Regression Techniques in Machine Learning	https://www.analyticsvidhya.com/blog/2015/08/comprehensive-guide-regression	NULL	NULL		NULL		2015
44680		https://opendatascience.com/20-open-datasets-for-natural-language-processing/	NULL	NULL		NULL		2021
44681	Page not found - Myrtle AI	https://myrtle.ai/how-to-train-your-resnet-8-bag-of-tricks/	NULL	NULL		NULL		2021
44682	20 Open Datasets for Natural Language Processing | by ODSC - Open Data Science | Medium	https://medium.com/@ODSC/20-open-datasets-for-natural-language-processing-538fbfaf8e38	NULL	NULL		NULL		2021
44683	Genetic Algorithms — I. What if AI learns to bat with genes and... | by Chirag Sharma | Medium	https://medium.com/@iamchiragsharma/genetic-algorithms-i-4438475ad5c6	NULL	NULL		NULL		2021
44684	Genetic Algorithms — 2. Children or Parents who will do better... | by Chirag Sharma | Medium	https://medium.com/@iamchiragsharma/genetic-algorithms-2-9670eec0d39f	NULL	NULL		NULL		2021
44707	ml5js·Friendly Machine Learning For The Web	https://ml5js.org/docs/word2vec-example	NULL	NULL		NULL		2021
44729	Page not found · GitHub · GitHub	https://github.com/allenai/allennlp/tree/master/tutorials/tagger	NULL	NULL		NULL		2021
44733		https://aclweb.org/aclwiki/POS_Tagging_(State_of_the_art)	NULL	NULL		NULL		2021
44744	Hugging Face – ConvAI	https://convai.huggingface.co	NULL	NULL		NULL		2021
44754	Social Network for Programmers and Developers	https://morioh.com/p/6298668b9379/neural-network-using-python-and-numpy	NULL	NULL		NULL		2021
44768	410 account suspended — Medium	https://towardsdatascience.com/machine-learning-to-big-data-scaling-inverted-indexing-with-solr-ba5b48833fb4	NULL	NULL		NULL		2021
44774	410 account suspended — Medium	https://towardsdatascience.com/dimensionality-reduction-pca-ica-and-manifold-learning-65393010253e	NULL	NULL		NULL		2021
44803	The Kernel Trick - Data Science for Mortals	https://dscm.quora.com/The-Kernel-Trick	NULL	NULL		NULL		2021
44816	The Glowing Python: Principal Component Analysis with numpy	https://glowingpython.blogspot.com.au/2011/07/principal-component-analysis-with-numpy.html	NULL	NULL		NULL		2021
44819	The Glowing Python: PCA and image compression with numpy	https://glowingpython.blogspot.com.au/2011/07/pca-and-image-compression-with-numpy.html	NULL	NULL		NULL		2021
44849	Google Colaboratory	https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/GradientFlow.ipynb	NULL	NULL		NULL		2021
44850	Google Colaboratory	https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/AutoEncoders.ipynb	NULL	NULL		NULL		2021
44852	Object not found!	http://www.columbia.edu/~ahd2125/post/2015/9/10/	NULL	NULL		NULL		2021
44853	Object not found!	http://www.columbia.edu/~ahd2125/post/2015/10/9/	NULL	NULL		NULL		2021
44854	Object not found!	http://www.columbia.edu/~ahd2125/post/2015/11/1/	NULL	NULL		NULL		2021
44879	410 Deleted by author — Medium	https://medium.com/code-gin/semi-supervised-and-unsupervised-learning-58d0a96b5c46	NULL	NULL		NULL		2021
44898	ray/rllib at master · ray-project/ray · GitHub	https://github.com/ray-project/ray/tree/master/python/ray/rllib	NULL	NULL		NULL		2021
44926	RLlib: Scalable Reinforcement Learning — Ray v1.2.0	https://ray.readthedocs.io/en/latest/rllib.html	NULL	NULL		NULL		2021
44935	Probably Approximately a Scientific Blog: Text Generation	https://veredshwartz.blogspot.com/2019/08/text-generation.html	NULL	NULL		NULL		2021
44976	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-7-probability-distributions-and-densities/	NULL	NULL		NULL		2020
44978	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-6-probability-theory/	NULL	NULL		NULL		2020
44980	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-5-measures-of-distance-and-similarity-or-dissimilarity/	NULL	NULL		NULL		2020
44981	Machine Learning From Scratch	https://mlfromscratch.com/introduction-to-machine-learning-4-statistics-and-probability/	NULL	NULL		NULL		2020
44983	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-3/	NULL	NULL		NULL		2020
44985	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-2/	NULL	NULL		NULL		2020
44987	Machine Learning From Scratch	https://mlfromscratch.com/machine-learning-introduction-1/	NULL	NULL		NULL		2020
45014	403 Forbidden	https://www.topbots.com/solve-ai-nlp-problems-guide/	NULL	NULL		NULL		2021
45022	CrowdSense	https://crowdsense.apps.allenai.org/index.html	NULL	NULL		NULL		2021
45025	403 Forbidden	https://www.topbots.com/intuitively-understanding-convolutions-deep-learning/	NULL	NULL		NULL		2021
45067	Deep Learning with Python and fast.ai, Part 0: Setup GPU Virtual Machine on Google Cloud | by Shuyi Wang | DataDrivenInvestor	https://medium.com/datadriveninvestor/deep-learning-with-python-part-0-setup-fast-ai-1-0-on-google-cloud-c3d41aadbc8c	NULL	NULL		NULL		2021
45080	401 Unauthorized	https://mc.ai/demystifying-different-variants-of-gradient-descent-optimization-algorithm/	NULL	NULL		NULL		2021
45119	blog/Backpropagation_Algorithm at master · adeveloperdiary/blog · GitHub	https://github.com/adeveloperdiary/blog/tree/master/Backpropagation_Algorithm	NULL	NULL		NULL		2021
45121	Page not found · GitHub · GitHub	https://github.com/Prakashvanapalli/TensorFlow/raw/master/Blogposts/Backpropogation_with_Images.ipynb	NULL	NULL		NULL		2021
45160	Google Colaboratory	https://colab.research.google.com/github/tensorflow/tensor2tensor/blob/master/tensor2tensor/notebooks/hello_t2t.ipynb	NULL	NULL		NULL		2021
45164	Best 6.75-inch Car Speakers 2021: Comparisons, Reviews & Buying guides	https://mlexplained.com/2017/12/29/attention-is-all-you-need-explained/	NULL	NULL		NULL		2021
45260	Natural Language Processing With spaCy in Python – Real Python	https://realpython.com/natural-language-processing-spacy-python/	NULL	NULL		NULL		2021
45277	SpeechBrain: A PyTorch Speech Toolkit	https://speechbrain.github.io/	NULL	NULL		NULL		2021
45307	Page not found · GitHub · GitHub	https://github.com/abhinavsagar/Reinforcement-Learning-Tutorial	NULL	NULL		NULL		2021
45375	fastText	https://fasttext.cc	NULL	NULL		NULL		2021
45428	Not Acceptable!	https://rxnlp.com/how-rouge-works-for-evaluation-of-summarization-tasks	NULL	NULL		NULL		2021
45432	GitHub - svjan5/GNNs-for-NLP: Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020	https://github.com/svjan5/GNNs-for-NLP	NULL	NULL		NULL		2021
45467	DeepNotes | Deep Learning Demystified	https://deepnotes.io/category/deep-clustering	NULL	NULL		NULL		2021
45485	Error	https://apps.panlex.org/teradict/1	NULL	NULL		NULL		2021
45496	Not Acceptable!	https://sebastianraschka.com/faq/docs/naive-bayes-boundary.html	NULL	NULL		NULL		2021
45539	403 Forbidden	http://datahacker.rs/0120-cnn-convolutional-neural-networks-an-overview/	NULL	NULL		NULL		2021
45587	Best 8-inch Midrange Speakers 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2020/02/12/the-hitchhikers-guide-to-python-gradients-and-gpus/	NULL	NULL		NULL		2021
45647	The Data Fabric for Machine Learning. Part 2: Building a Knowledge-Graph. | by Favio Va?zquez | Towards Data Science	https://towardsdatascience.com/the-data-fabric-for-machine-learning-part-2-building-a-knowledge-graph-2fdd1370bb0a	NULL	NULL		NULL		2021
45674	Chainer: A flexible framework for neural networks	https://chainer.org/	NULL	NULL		NULL		2021
45693	410 account suspended — Medium	https://towardsdatascience.com/from-linear-to-logistic-regression-explained-step-by-step-11d7f0a9c29	NULL	NULL		NULL		2021
45701	Generative Adversarial Networks - The Story So Far	https://blog.floydhub.com/gans-story-so-far/	NULL	NULL		NULL		2019
45772	Advanced Database Management System - Tutorials and Notes: Context Free Grammar (CFG) for NLP	http://www.exploredatabase.com/2020/04/context-free-grammar-cfg-for-natural-language-processing.html	NULL	NULL		NULL		2021
45773	Blitzstein Hwang Probability.pdf - Google Drive	https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/view	NULL	NULL		NULL		2021
45778	Advanced Database Management System - Tutorials and Notes: Bigram probability estimate of a word sequence	http://www.exploredatabase.com/2020/04/bigram-probability-estimation-of-word-sequence-example.html	NULL	NULL		NULL		2021
45780	403 Forbidden	https://www.topbots.com/multi-armed-bandit-problem-solutions	NULL	NULL		NULL		2021
45882	404: Not Found | Exxact	https://blog.exxactcorp.com/lets-learn-the-difference-between-a-deep-learning-cnn-and-rnn/	NULL	NULL		NULL		2021
45898	Site not found · GitHub Pages	https://www.bash.academy/	NULL	NULL		NULL		2021
45905	Not Acceptable!	http://www.text-analytics101.com/2014/10/how-do-we-evaluate-machine-generated.html	NULL	NULL		NULL		2021
45913	Text Mining, Analytics & More: Computing Precision and Recall for Multi-Class Classification Problems	http://text-analytics101.rxnlp.com/2014/10/computing-precision-and-recall-for.html	NULL	NULL		NULL		2021
45914	Oops! | PyTorch	https://pytorch.org/hub/huggingface_pytorch-pretrained-bert_bert/	NULL	NULL		NULL		2021
45927	Google Colaboratory	https://colab.research.google.com/github/graykode/nlp-tutorial/blob/master/1-3.FastText/FastText.ipynb	NULL	NULL		NULL		2021
45930	Best Car Amplifier 2021: Comparisons, Reviews & Buying guides	http://mlexplained.com/2019/06/30/paper-dissected-xlnet-generalized-autoregressive-pretraining-for-language-understanding-explained/	NULL	NULL		NULL		2021
45933	Best Car Stereos 2021: Comparisons, Reviews & Buying guides	https://mlexplained.com/2019/05/27/learning-to-rank-explained-with-code/	NULL	NULL		NULL		2021
45936	Best 5 Channel Car Amplifier 2021: Comparisons, Reviews & Buying guides	https://mlexplained.com/2019/05/13/a-tutorial-to-fine-tuning-bert-with-fast-ai/	NULL	NULL		NULL		2021
45941	410 account suspended — Medium	https://towardsdatascience.com/beginners-guide-to-machine-learning-with-python-b9ff35bc9c51	NULL	NULL		NULL		2021
45944	Paperspace Blog	http://blog.paperspace.com/pytorch-101-understanding-graphs-an%20d-automatic-differentiation/	NULL	NULL		NULL		2021
46052	A Neural Network in 11 lines of Python (Part 1) - i am trask	https://iamtrask.github.io/2015/07/12/basic-python-network/	NULL	NULL		NULL		2021
46083	Page not found — Tim Dettmers	https://timdettmers.com/2017/08/31/deep-learning-research-directions/	NULL	NULL		NULL		2021
46101	410 account suspended — Medium	https://towardsdatascience.com/mathematics-behind-ai-machine-learning-a065e16e900a	NULL	NULL		NULL		2021
46167	410 account suspended — Medium	https://towardsdatascience.com/deep-learning-algorithms-the-complete-guide-ce020bd47ecc	NULL	NULL		NULL		2021
46256	GitHub - huggingface/adversarialnlp: A generic library for crafting adversarial NLP examples - WIP	https://github.com/huggingface/adversarialnlp	NULL	NULL		NULL		2021
46272	403 Forbidden	https://deeppavlov.ai/	NULL	NULL		NULL		2021
46286	Chun's Machine Learning Page	https://chunml.github.io/ChunML.github.io/project/Sequence-To-Sequence/	NULL	NULL		NULL		2018
46461	Learn Naive Bayes Algorithm | Naive Bayes Classifier Examples	https://www.analyticsvidhya.com/blog/2019/07/openai-gpt2-text-generator-pytho/n	NULL	NULL		NULL		2017
46468	410 account suspended — Medium	https://chatbotslife.com/getting-started-with-natural-language-processing-26c530171a21	NULL	NULL		NULL		2021
46515	datastuff.tech	http://www.datastuff.tech/machine-learning/convolutional-neural-networks-an-introduction-tensorflow-eager	NULL	NULL		NULL		2021
46520	Chapter 1: Finding words, phrases, names and concepts · Advanced NLP with spaCy	https://course.spacy.io/chapter1	NULL	NULL		NULL		2021
46535	          New Releases: PyTorch 1.2, torchtext 0.4, torchaudio 0.3, and torchvision 0.4 | PyTorch      	https://pytorch.org/blog/pytorch-1.2-and-domain-api-release/?	NULL	NULL		NULL		2021
46537	410 account suspended — Medium	https://medium.com/@jayeshbahire/the-xor-problem-in-neural-networks-50006411840b	NULL	NULL		NULL		2021
46539	What is the State of AutoML in 2019? | by Christopher Dossman | AI3 | Theory, Practice, Business | Medium	https://medium.com/ai%C2%B3-theory-practice-business/what-is-the-state-of-automl-in-2019-64167f581dd1	NULL	NULL		NULL		2021
46541	Anisotropic, Dynamic, Spectral and Multiscale Filters Defined on Graphs | by Boris Knyazev | Towards Data Science	https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-2-be6d71d70f49	NULL	NULL		NULL		2021
46542	Understanding Logistic Regression step by step | by Gustavo Cha?vez | Towards Data Science	https://towardsdatascience.com/understanding-logistic-regression-step-by-step-704a78be7e0a	NULL	NULL		NULL		2021
46543	Keras vs TensorFlow. A comparison of the two. | by Anais Dotis | Medium	https://medium.com/@dganais/keras-vs-tensorflow-75a59ee8134e	NULL	NULL		NULL		2021
46544	Autoencoders & Power of Mathematical Optimizations | by Chan Woo Kim | Human Machine Learning | Medium	https://medium.com/machine-learning-intuition/autoencoders-power-of-mathematical-optimizations-20b31ffa725e	NULL	NULL		NULL		2021
46545	410 Deleted by author — Medium	https://towardsdatascience.com/logistic-regression-for-dummies-a-detailed-explanation-9597f76edf46	NULL	NULL		NULL		2021
46546	Examining the Transformer Architecture | by James Montantes | Towards Data Science	https://towardsdatascience.com/examining-the-transformer-architecture-e112c9580e8	NULL	NULL		NULL		2021
46547	Examining the Transformer Architecture | by James Montantes | Towards Data Science	https://towardsdatascience.com/examining-the-transformer-architecture-part-1-the-openai-gpt-2-controversy-feceda4363bb	NULL	NULL		NULL		2021
46548	Getting started with NLP using the PyTorch framework | by James Montantes | Towards Data Science	https://towardsdatascience.com/getting-started-with-nlp-using-the-pytorch-framework-72e7b17b8717	NULL	NULL		NULL		2021
46549	Reinforcement Learning: From Grid World to Self-Driving Cars | by James Montantes | Towards Data Science	https://towardsdatascience.com/reinforcement-learning-from-grid-world-to-self-driving-cars-52bd3e647bc4	NULL	NULL		NULL		2021
46550	Introduction to scikit-learn a??? Oa???Reilly	https://www.oreilly.com/ideas/intro-to-scikit-learn	NULL	NULL		NULL		2021
46551	A Whirlwind Tour of Python a??? Oa???Reilly	https://www.oreilly.com/learning/a-whirlwind-tour-of-python	NULL	NULL		NULL		2021
46552	Introduction to Support Vector Machines a??? Oa???Reilly	https://www.oreilly.com/learning/intro-to-svm	NULL	NULL		NULL		2021
46553	What Is Machine Learning? | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.01-what-is-machine-learning.html	NULL	NULL		NULL		2021
46554	Introducing Scikit-Learn | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html	NULL	NULL		NULL		2021
46555	Hyperparameters and Model Validation | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.03-hyperparameters-and-model-validation.html	NULL	NULL		NULL		2021
46556	Feature Engineering | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.04-feature-engineering.html	NULL	NULL		NULL		2021
46557	In Depth: Naive Bayes Classification | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.05-naive-bayes.html	NULL	NULL		NULL		2021
46558	In Depth: Linear Regression | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.06-linear-regression.html	NULL	NULL		NULL		2021
46559	In-Depth: Support Vector Machines | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.07-support-vector-machines.html	NULL	NULL		NULL		2021
46560	In-Depth: Decision Trees and Random Forests | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.08-random-forests.html	NULL	NULL		NULL		2021
46561	In Depth: Principal Component Analysis | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.09-principal-component-analysis.html	NULL	NULL		NULL		2021
46562	In-Depth: Manifold Learning | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.10-manifold-learning.html	NULL	NULL		NULL		2021
46563	In Depth: k-Means Clustering | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.11-k-means.html	NULL	NULL		NULL		2021
46564	In Depth: Gaussian Mixture Models | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.12-gaussian-mixtures.html	NULL	NULL		NULL		2021
46565	In-Depth: Kernel Density Estimation | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.13-kernel-density-estimation.html	NULL	NULL		NULL		2021
46566	Application: A Face Detection Pipeline | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.14-image-features.html	NULL	NULL		NULL		2021
46567	Further Machine Learning Resources | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/05.15-learning-more.html	NULL	NULL		NULL		2021
46568	Appendix: Figure Code | Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/06.00-figure-code.html	NULL	NULL		NULL		2021
46569	What I learned from spending a year as a solo machine learning researcher | by David Mack | Octavian | Medium	https://medium.com/@DavidMack/what-i-learned-from-spending-a-year-as-a-solo-machine-learning-researcher-7f2266203d94	NULL	NULL		NULL		2021
46570	Linear Regression. A unification of Maximum Likelihood... | by William Fleshman | Towards Data Science	https://towardsdatascience.com/linear-regression-91eeae7d6a2e	NULL	NULL		NULL		2021
46571	Fundamentals of Machine Learning (Part 2) | by William Fleshman | Towards Data Science	https://towardsdatascience.com/maximum-likelihood-estimation-984af2dcfcac	NULL	NULL		NULL		2021
46572	Fundamentals of Machine Learning (Part 3) | by William Fleshman | Towards Data Science	https://towardsdatascience.com/fundamentals-of-machine-learning-part-3-b305933f00cd	NULL	NULL		NULL		2021
46574	Multi-Layer perceptron using Tensorflow | by Aayush Agrawal | Towards Data Science	https://towardsdatascience.com/multi-layer-perceptron-using-tensorflow-9f3e218a4809	NULL	NULL		NULL		2021
46575	Web Scraping Using Selenium. Creating a dataset of marathon images... | by Kapil Varshney | Towards Data Science	https://towardsdatascience.com/web-scraping-using-selenium-836de8677ae5	NULL	NULL		NULL		2021
46576	Document Classification Part 1: Intuition & How Do We Work With Documents? | by Chan Woo Kim | Human Machine Learning | Medium	https://medium.com/machine-learning-intuition/document-classification-part-1-intuition-54baf716757f	NULL	NULL		NULL		2021
46577	Document Classification Part 2: Text Processing (N-Gram Model & TF-IDF Model) | by Chan Woo Kim | Human Machine Learning | Medium	https://medium.com/machine-learning-intuition/document-classification-part-2-text-processing-eaa26d16c719	NULL	NULL		NULL		2021
46578	Document Classification Part 3: Detection Algorithm (Support Vector Machines & Gradient Descent) | by Chan Woo Kim | Human Machine Learning | Medium	https://medium.com/machine-learning-intuition/document-classification-part-3-detection-algorithm-support-vector-machines-gradient-descent-282316b0838e	NULL	NULL		NULL		2021
46579	Document Classification Part 4: Variations of This Approach (Malware Detection Using Document Classification) | by Chan Woo Kim | Human Machine Learning | Medium	https://medium.com/machine-learning-intuition/document-classification-part-4-variations-of-this-approach-malware-detection-using-document-32ace384c9af	NULL	NULL		NULL		2021
46581	Linear Algebra 101 — Part 1. I believe understanding fundamental... | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/towards-understanding-linear-algebra-part-1-d43710535503	NULL	NULL		NULL		2021
46582	Linear Algebra 101 — Part 2. Before stepping into this article... | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/towards-understanding-linear-algebra-part-2-e51c948ad00	NULL	NULL		NULL		2021
46583	Linear Algebra 101 — Part 3. Before stepping into this article... | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/towards-understanding-linear-algebra-part-3-5bda805bd67e	NULL	NULL		NULL		2021
46584	Linear Algebra 101 — Part 4. This is a series of articles towards... | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-101-part-4-6864630842b	NULL	NULL		NULL		2021
46585	Linear Algebra 101 — Part 5: Determinants | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-101-part-5-determinants-b54f990782cc	NULL	NULL		NULL		2021
46586	Linear Algebra — Part 6: eigenvalues and eigenvectors | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-part-6-eigenvalues-and-eigenvectors-35365dc4365a	NULL	NULL		NULL		2021
46587	Linear Algebra 101 — Part 7: Eigendecomposition when symmetric | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-101-part-7-eigendecomposition-when-symmetric-4cd41d38269e	NULL	NULL		NULL		2021
46588	Linear Algebra 101 — Part 8: Positive Definite Matrix | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-101-part-8-positive-definite-matrix-4b0b5acb7e9a	NULL	NULL		NULL		2021
46589	Linear Algebra 101 — Part 9: Singular Value Decomposition (SVD) | by Sho Nakagome | sho.jp | Medium	https://medium.com/sho-jp/linear-algebra-101-part-9-singular-value-decomposition-svd-a6c53ed2319e	NULL	NULL		NULL		2021
46755	410 account suspended — Medium	https://towardsdatascience.com/roadmap-to-machine-learning-key-concepts-explained-91eacd53d81e	NULL	NULL		NULL		2021
46791	Page not found – The Art of Better Programming	https://artofbetterprogramming.com/2020/07/01/gradient-descent-model-machine-learning-topics-of-machine-learning	NULL	NULL		NULL		2021
46809	Page not found – The Art of Better Programming	https://artofbetterprogramming.com/2020/06/13/how-to-use-directional-derivatives-topics-of-partial-derivatives/	NULL	NULL		NULL		2021
46864	PyTorch for Beginners - Basic Concepts	https://rubikscode.net/2020/06/08/pytorch-for-beginners-basic-concepts/	NULL	NULL		NULL		2021
46870	Hugging Face – The AI community building the future.	https://huggingface.co/models?search=Helsinki-NLP%2Fopus-mt	NULL	NULL		NULL		2021
46985	ntentional | Morgan McGuire’s machine learning journey through blogs and code	http://www.ntentional.com/2020/02/18/fasthugs_demo.html	NULL	NULL		NULL		2021
47028	Not Acceptable!	https://sebastianraschka.com/faq/docs/logistic-sigmoid-derivative.html	NULL	NULL		NULL		2021
47032	Page Not Found	https://www.wsj.com/articles/science-eats-its-own-11608765409?mod=article_inline	NULL	NULL		NULL		2021
47041	Page not found - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/03/a-hands-on-introduction-to-hugging-faces-autonlp-101/	NULL	NULL		NULL		2021
47043	Site is not available	https://missinglink.ai/guides/neural-network-concepts/backpropagation-neural-networks-process-examples-code-minus-math/	NULL	NULL		NULL		2021
47097	exBERT	http://exbert.net/exBERT.html	NULL	NULL		NULL		2021
47133	Medium	https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f	NULL	NULL		NULL		2021
47135	Medium	https://towardsdatascience.com/can-neural-networks-really-learn-any-function-65e106617fc	NULL	NULL		NULL		2021
47144	Medium	https://towardsdatascience.com/attention-and-its-different-forms-7fc3674d14d	NULL	NULL		NULL		2021
47148	Derivation: Derivatives for Common Neural Network Activation Functions | The OG Clever Machine	https://theclevermachine.wordpress.com/2014/09/08/derivation-derivatives-for-common-neural-network-activation-functions	NULL	NULL		NULL		2021
47153	Welcome to PyTorch Tutorials — PyTorch Tutorials 1.8.1+cu102 documentation	https://pytorch.org/tutorials/index.html	NULL	NULL		NULL		2021
47189	Error	https://getpocket.com/explore/item/the-like-button-ruined-the-inter	NULL	NULL		NULL		2021
47200	Google Colaboratory	https://colab.research.google.com/github/lexfridman/mit-deep-learning/blob/master/tutorial_gans/tutorial_gans.ipynb	NULL	NULL		NULL		2021
47433	The BERT Collection	https://www.chrismccormick.ai/the-bert-collection	NULL	NULL		NULL		2021
47437	Word2Vec Implementation - Google Sheets	https://docs.google.com/spreadsheets/d/1mgf82Ue7MmQixMm2ZqnT1oWUucj6pEcd2wDs_JgHmco/edit#gid=0	NULL	NULL		NULL		2021
47463	What things do I need to learn to implement word2vec from scratch? - Quora	https://www.quora.com/What-things-do-I-need-to-learn-to-implement-word2vec-from-scratch	NULL	NULL		NULL		2021
47738	403 Forbidden	http://datahacker.rs/architectures-convolutional-neural-networks//	NULL	NULL		NULL		2021
47779	410 account suspended — Medium	https://blog.usejournal.com/part1-bert-for-advance-nlp-with-transformers-in-pytorch-357579d63512	NULL	NULL		NULL		2021
47935	410 account suspended — Medium	https://towardsdatascience.com/introduction-to-stemming-vs-lemmatization-nlp-8c69eb43ecfe	NULL	NULL		NULL		2021
47958	Long Short-Term Memory Definition | DeepAI	https://deepai.org/machine-learning-glossary-and-terms/long-short-term-memory	NULL	NULL		NULL		2021
48237	Page Not Found	https://www.wsj.com/articles/vaccine-rollout-presenting-states-with-questions-over-race-and-access-11608908400	NULL	NULL		NULL		2021
48238		https://www.cato.org/blog/poll-62-americans-say-they-have-political-views-theyre-afraid-share	NULL	NULL		NULL		2021
48241	PCA Clearly Explained -When, Why, How To Use It and Feature Importance: A Guide in Python – Towards AI — The Best of Tech, Science, and Engineering	https://towardsai.net/p/machine-learning/pca-clearly-explained-when-why-how-to-use-it-and-feature-importance-a-guide-in-python	NULL	NULL		NULL		2021
51581	Killer Combo: Softmax and Cross Entropy | by Paolo Perrotta | Level Up Coding	https://levelup.gitconnected.com/killer-combo-softmax-and-cross-entropy-5907442f60ba	NULL	NULL		NULL		2021
51582	Neural Networks Visualized. Let’s walk though a neural network and... | by Paolo Perrotta | Level Up Coding	https://levelup.gitconnected.com/neural-networks-visualized-6cc657f9d7c5	NULL	NULL		NULL		2021
51583	This Is Machine Learning, Part 2: Supervised Learning | by Paolo Perrotta | The Startup | Medium	https://medium.com/swlh/this-is-machine-learning-part-2-supervised-learning-94a0c6f5f33a	NULL	NULL		NULL		2021
51584	This Is Machine Learning, Part 1: Learning vs. Coding | by Paolo Perrotta | The Startup | Medium	https://medium.com/swlh/this-is-machine-learning-part-1-learning-vs-coding-789343df1e30	NULL	NULL		NULL		2021
51585	Of Gradients and Matrices. This artcle explains a line of code in... | by Paolo Perrotta | Medium	https://nusco.medium.com/of-gradients-and-matrices-1b19de65e5cd	NULL	NULL		NULL		2021
51586	Grokking the Cross Entropy Loss. This post explains the intuitive... | by Paolo Perrotta | Level Up Coding	https://levelup.gitconnected.com/grokking-the-cross-entropy-loss-cda6eb9ec307	NULL	NULL		NULL		2021
51587	What is a Convolutional Neural Network? | by Aqeel Anwar | Towards Data Science	https://towardsdatascience.com/a-visualization-of-the-basic-elements-of-a-convolutional-neural-network-75fea30cd78d	NULL	NULL		NULL		2021
51588	Cheat Sheets for Machine Learning Interview Topics | by Aqeel Anwar | The Startup | Medium	https://medium.com/swlh/cheat-sheets-for-machine-learning-interview-topics-51c2bc2bab4f	NULL	NULL		NULL		2021
51589	Types of Regularization in Machine Learning | by Aqeel Anwar | Towards Data Science	https://towardsdatascience.com/types-of-regularization-in-machine-learning-eb5ce5f9bf50	NULL	NULL		NULL		2021
51590	A Beginner’s Guide to Regression Analysis in Machine Learning | by Aqeel Anwar | Towards Data Science	https://towardsdatascience.com/a-beginners-guide-to-regression-analysis-in-machine-learning-8a828b491bbf	NULL	NULL		NULL		2021
51591	www.MLinGIFS.aqeel-anwar.com	https://sites.google.com/view/mlingifs	NULL	NULL		NULL		2021
51592	For language models, analogies are a tough nut to crack, study shows | VentureBeat	https://venturebeat.com/2021/05/13/for-language-models-analogies-are-a-tough-nut-to-crack-study-shows	NULL	NULL		NULL		2021
51593	Gibbs Sampling Explained | Seth Billiau | Towards Data Science	https://towardsdatascience.com/gibbs-sampling-explained-b271f332ed8d	NULL	NULL		NULL		2021
51594	The intuition behind Reinforcement Learning | by Anwesan De | Towards Data Science	https://towardsdatascience.com/the-intuition-behind-reinforcement-learning-d88fccbb145b	NULL	NULL		NULL		2021
51595	Graph Representation Learning — The Encoder-Decoder Model (Part 2) | by Giuseppe Futia | Towards Data Science	https://towardsdatascience.com/graph-representation-learning-the-encoder-decoder-model-part-2-ed8b505af447	NULL	NULL		NULL		2021
51596	Graph Representation Learning — Network Embeddings (Part 1) | by Giuseppe Futia | Towards Data Science	https://towardsdatascience.com/graph-representation-learning-network-embeddings-d1162625c52b	NULL	NULL		NULL		2021
51597	Using Activation Functions in Neural Nets | by Swapnil Kangralkar | Towards Data Science	https://towardsdatascience.com/using-activation-functions-in-neural-nets-c119ad80826	NULL	NULL		NULL		2021
51598	Gradient Descent Algorithm — a deep dive | by Robert Kwiatkowski | Towards Data Science	https://towardsdatascience.com/gradient-descent-algorithm-a-deep-dive-cf04e8115f21	NULL	NULL		NULL		2021
51599	Performing Linear Regression Using the Normal Equation | by Robert Kwiatkowski | Towards Data Science	https://towardsdatascience.com/performing-linear-regression-using-the-normal-equation-6372ed3c57	NULL	NULL		NULL		2021
51600	Next Sentence Prediction With BERT | Towards Data Science	https://towardsdatascience.com/bert-for-next-sentence-prediction-466b67f8226f	NULL	NULL		NULL		2021
51601	Revealing what neural networks see and learn: PytorchRevelio | by Farhad Dalirani | Towards Data Science	https://towardsdatascience.com/reveling-what-neural-networks-see-and-learn-pytorchrevelio-a218ef5fc61f	NULL	NULL		NULL		2021
51602	What is Isomap? | by Adam Sabra | Towards Data Science	https://towardsdatascience.com/what-is-isomap-6e4c1d706b54	NULL	NULL		NULL		2021
51603	Neural Networks From the Ground Up (Part 1) | by Wilson Wang | Towards Data Science	https://towardsdatascience.com/neural-networks-from-the-ground-up-part-1-880e6228d991	NULL	NULL		NULL		2021
51604	A Complete Overview of GPT-3 — The Largest Neural Network Ever Created | by Alberto Romero | Towards Data Science	https://towardsdatascience.com/gpt-3-a-complete-overview-190232eb25fd	NULL	NULL		NULL		2021
51606	Tuning the Hyperparameters and Layers of Neural Network Deep Learning	https://www.analyticsvidhya.com/blog/2021/05/tuning-the-hyperparameters-and-layers-of-neural-network-deep-learning/	NULL	NULL		NULL		2021
51607	Natural Language Processing Step by Step Guide | NLP for Data Scientists	https://www.analyticsvidhya.com/blog/2021/05/natural-language-processing-step-by-step-guide/	NULL	NULL		NULL		2021
51608	What is Gradient Descent | Gradient Descent From Scratch	https://www.analyticsvidhya.com/blog/2021/05/gradient-descent-from-scratch-complete-intuition/	NULL	NULL		NULL		2021
51609	Scraping Data from Nested HTML Pages with Python Selenium | by Angelica Lo Duca | Towards Data Science	https://towardsdatascience.com/scraping-data-from-nested-html-pages-with-python-selenium-c5f23065841f	NULL	NULL		NULL		2021
51610	7 Hyperparameter Optimization Techniques Every Data Scientist Should Know | by Satyam Kumar | Towards Data Science	https://towardsdatascience.com/7-hyperparameter-optimization-techniques-every-data-scientist-should-know-12cdebe713da	NULL	NULL		NULL		2021
51611	Understanding Loss Functions the Smart Way | by Paras Varshney | Towards Data Science	https://towardsdatascience.com/understanding-loss-functions-the-smart-way-904266e9393	NULL	NULL		NULL		2021
51612	Basic Text Summarization in Python | by Graham Harrison | Towards Data Science	https://towardsdatascience.com/basic-text-summarization-in-python-d87df82497b3	NULL	NULL		NULL		2021
51616	Measuring Text Similarity Using BERT - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/05/measuring-text-similarity-using-bert/	NULL	NULL		NULL		2021
51617	Basics of CountVectorizer | by Pratyaksh Jain | Towards Data Science	https://towardsdatascience.com/basics-of-countvectorizer-e26677900f9c	NULL	NULL		NULL		2021
51618	A deep dive into k-means | by Martin Helm | Towards Data Science	https://towardsdatascience.com/a-deep-dive-into-k-means-f9a1ef2490f8	NULL	NULL		NULL		2021
51619	Training NLP Models on Counterfactual Text | by Nick Doiron | Towards Data Science	https://towardsdatascience.com/training-nlp-models-on-counterfactual-text-ff1b2a4fffbc	NULL	NULL		NULL		2021
51620	NLP 101 2?3 — Linear Models for Text Classification | by Lisa A. Chalaguine | Towards Data Science	https://towardsdatascience.com/nlp-101-%E2%85%94-linear-models-for-text-classification-8ced8199c2a8	NULL	NULL		NULL		2021
51621	NLP 101 1?3 — Feature Engineering and Word Embeddings | by Lisa A. Chalaguine | Towards Data Science	https://towardsdatascience.com/nlp-101-%E2%85%93-feature-engineering-and-word-embeddings-f10dffd67bb0	NULL	NULL		NULL		2021
51622	No Fear of Machine Learning — how to classify text in less than 10 lines of code | by Lisa A. Chalaguine | Towards Data Science	https://towardsdatascience.com/no-fear-of-machine-learning-classify-your-textual-data-in-less-than-10-lines-of-code-2360d5cec798	NULL	NULL		NULL		2021
51624	Mathematical Recipe of Dimensionality Reduction | by Shubham Dhingra | Towards Data Science	https://towardsdatascience.com/mathematical-recipe-of-dimensionality-reduction-281ff37957e4	NULL	NULL		NULL		2021
51625	Stochastic Gradient Descent explained in real life | by Carolina Bento | Towards Data Science	https://towardsdatascience.com/stochastic-gradient-descent-explained-in-real-life-predicting-your-pizzas-cooking-time-b7639d5e6a32	NULL	NULL		NULL		2021
51626	Quickly Understand the 6 Types of Neural Networks | by Sajjad Hussain | Cloud Believers | Medium	https://medium.com/cloud-believers/quickly-understand-the-6-types-of-neural-networks-5e5300c45701	NULL	NULL		NULL		2021
51627	Under the Hood of Modern Machine and Deep Learning: Classical ML | Towards Data Science	https://towardsdatascience.com/under-the-hood-of-modern-machine-and-deep-learning-d76fc1249467	NULL	NULL		NULL		2021
51628	403 Forbidden	https://www.topbots.com/leading-nlp-language-models-2020	NULL	NULL		NULL		2021
51629	403 Forbidden	https://www.topbots.com/graph-transformer/	NULL	NULL		NULL		2021
51630	How to Paraphrase Text using Python | by Chanin Nantasenamat | Towards Data Science	https://towardsdatascience.com/how-to-paraphrase-text-using-python-73b40a8b7e66	NULL	NULL		NULL		2021
51631	Problems with Existing Abstractive Text Summarization Models— Even SOTA | by Prakhar Mishra | Towards Data Science	https://towardsdatascience.com/entity-level-factual-consistency-in-abstractive-text-summarization-cb19e8a48397	NULL	NULL		NULL		2021
51632	Embeddings, Beyond Just Words | by Mohammed Alhamid | Towards Data Science	https://towardsdatascience.com/embeddings-beyond-just-words-2c835678dae2	NULL	NULL		NULL		2021
51633	Machine Translation. A literature review on Statistical MT... | by Chao De-Yu | Towards Data Science	https://towardsdatascience.com/machine-translation-b0f0dbcef47c	NULL	NULL		NULL		2021
51634	Matrix in Data Science interviews | Towards Data Science	https://towardsdatascience.com/math-refresher-for-data-scientist-part-1-matrices-88620a92d046	NULL	NULL		NULL		2021
51635	A Deep Learning Approach in Predicting the Next Word(s) | by Kamil Mysiak | Towards Data Science	https://towardsdatascience.com/a-deep-learning-approach-in-predicting-the-next-word-s-7b0ee9341bfe	NULL	NULL		NULL		2021
51637	GitHub - xcfcode/Summarization-Papers: Summarization Papers	https://github.com/xcfcode/Summarization-Papers	NULL	NULL		NULL		2021
51638	How to Build an Open-Domain Question Answering System?	https://lilianweng.github.io/lil-log/2020/10/29/open-domain-question-answering.html	NULL	NULL		NULL		2020
51639	Reducing Toxicity in Language Models	https://lilianweng.github.io/lil-log/2021/03/21/reducing-toxicity-in-language-models.html	NULL	NULL		NULL		2021
51640	Controllable Neural Text Generation	https://lilianweng.github.io/lil-log/2021/01/02/controllable-neural-text-generation.html	NULL	NULL		NULL		2021
51641	human-centered-summarization/financial-summarization-pegasus · Hugging Face	https://huggingface.co/human-centered-summarization/financial-summarization-pegasus	NULL	NULL		NULL		2021
51642	Toxicity in AI Text Generation | Towards Data Science	https://towardsdatascience.com/toxicity-in-ai-text-generation-9e9d9646e68f	NULL	NULL		NULL		2021
51643	K-Means - Machine Learning in Python | Towards Data Science	https://towardsdatascience.com/k-means-machine-learning-algorithms-with-implementation-in-python-ac1d48e90239	NULL	NULL		NULL		2021
51644	403 Forbidden	https://www.topbots.com/conversational-ai-task-oriented-chatbots/	NULL	NULL		NULL		2021
51645	403 Forbidden	https://www.topbots.com/get-started-with-graph-machine-learning/	NULL	NULL		NULL		2021
51646	Example of Machine Translation in Python and Tensorflow – Predictive Hacks	https://predictivehacks.com/example-of-machine-translation-in-python-and-tensorflow/	NULL	NULL		NULL		2021
51647	Pynini < GRM < TWiki	http://www.opengrm.org/twiki/bin/view/GRM/Pynini	NULL	NULL		NULL		2021
51648	Naive Bayes Classification in NLP tasks from Scratch – Predictive Hacks	https://predictivehacks.com/naive-bayes-classification-in-nlp-tasks-from-scratch/#more-5662	NULL	NULL		NULL		2021
51649	How to Find Similar Documents using N-grams and Word Embeddings – Predictive Hacks	https://predictivehacks.com/how-to-find-similar-documents-using-n-grams-and-word-embeddings/#more-5603	NULL	NULL		NULL		2021
51650	Get Started with OpenCV – Predictive Hacks	https://predictivehacks.com/get-started-with-opencv	NULL	NULL		NULL		2021
51651	How to Get the Power of Test in Hypothesis Testing with Binomial Distribution – Predictive Hacks	https://predictivehacks.com/how-to-get-the-power-of-test-in-hypothesis-testing-with-binomial-distribution/#more-5415	NULL	NULL		NULL		2021
51652	Document Similarity with Synsets and Path Similarity – Predictive Hacks	https://predictivehacks.com/document-similarity-with-synset-and-path-similarity/	NULL	NULL		NULL		2021
51653	No code introduction to neural networks | by Philip Wilkinson | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/no-code-introduction-to-neural-networks-7b4187a8d100	NULL	NULL		NULL		2021
51654	5 Minutes Cheat Sheet Explaining all Machine Learning Models | by Harsh Maheshwari | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/5-minutes-cheat-sheet-explaining-all-machine-learning-models-3fea1cf96f05	NULL	NULL		NULL		2021
51655	Ensemble methods: bagging, boosting and stacking | by Joseph Rocca | Towards Data Science	https://towardsdatascience.com/ensemble-methods-bagging-boosting-and-stacking-c9214a10a205	NULL	NULL		NULL		2021
51656	Understanding Automatic Text Summarization-2: Abstractive Methods | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/understanding-automatic-text-summarization-2-abstractive-methods-7099fa8656fe	NULL	NULL		NULL		2021
51657	Understanding Automatic Text Summarization-1: Extractive Methods | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/understanding-automatic-text-summarization-1-extractive-methods-8eb512b21ecc	NULL	NULL		NULL		2021
51658	A Beginner’s Guide to Computer Vision | by Abhijit Roy | Nerd For Tech | Medium	https://medium.com/nerd-for-tech/a-beginners-guide-to-computer-vision-3a8aea9304cd	NULL	NULL		NULL		2021
51659	Introduction To Autoencoders. A Brief Overview | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/introduction-to-autoencoders-7a47cf4ef14b	NULL	NULL		NULL		2021
51660	A Guide to Image Captioning. How Deep Learning helps in captioning? | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/a-guide-to-image-captioning-e9fd5517f350	NULL	NULL		NULL		2021
51661	Introduction To Generative Networks | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/introduction-to-generative-networks-e33c18a660dd	NULL	NULL		NULL		2021
51662	A Dive Into Unsupervised Learning | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/a-dive-into-unsupervised-learning-bf1d6b5f02a7	NULL	NULL		NULL		2021
51663	A Dive Into Decision Trees. How do Decision Trees work? | by Abhijit Roy | Towards Data Science	https://towardsdatascience.com/a-dive-into-decision-trees-a128923c9298	NULL	NULL		NULL		2021
51664	Understanding Reinforcement Learning Basics | by Abhijit Roy | Medium	https://medium.com/@myac.abhijit/understanding-reinforcement-learning-i-8613218441e5	NULL	NULL		NULL		2021
51665	Node2vec explained graphically | by Remy Lau | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/node2vec-explained-graphically-749e49b7eb6b	NULL	NULL		NULL		2021
51666	Support Vector Machine- Machine Learning in Python | Towards Data Science	https://towardsdatascience.com/support-vector-machines-machine-learning-algorithms-with-implementation-in-python-f4337941818	NULL	NULL		NULL		2021
51667	NetworkX: Code Demo for Manipulating Subgraphs | by Jinhang Jiang | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/networkx-code-demo-for-manipulating-subgraphs-e45320581d13	NULL	NULL		NULL		2021
51668	Logistic Regression— Machine Learning in Python | Towards Data Science	https://towardsdatascience.com/logistic-regression-machine-learning-algorithms-with-implementation-in-python-7dd5778279fc	NULL	NULL		NULL		2021
51669	Wu Dao 2.0: A Monster of 1.75 Trillion Parameters | by Alberto Romero | Medium | Towards Data Science	https://towardsdatascience.com/gpt-3-scared-you-meet-wu-dao-2-0-a-monster-of-1-75-trillion-parameters-832cd83db484	NULL	NULL		NULL		2021
51670	BERT Transformers — How Do They Work? | by James Montantes | Becoming Human: Artificial Intelligence Magazine	https://becominghuman.ai/bert-transformers-how-do-they-work-cd44e8e31359	NULL	NULL		NULL		2021
51671	Understanding Convolutional Neural Networks | by Kasper Mu?ller | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/understanding-convolutional-neural-networks-316d0bb099a4	NULL	NULL		NULL		2021
51672	Transformers Explained Visually — Not Just How, but Why They Work So Well | by Ketan Doshi | Towards Data Science	https://towardsdatascience.com/transformers-explained-visually-not-just-how-but-why-they-work-so-well-d840bd61a9d3	NULL	NULL		NULL		2021
51673	Transformers: Implementing NLP Models in 3 Lines of Code | by Fernando Lo?pez | Towards Data Science	https://towardsdatascience.com/transformers-implementing-nlp-models-in-3-lines-of-code-475639c3611d	NULL	NULL		NULL		2021
51674	Text Summarization with NLTK in Python	https://stackabuse.com/text-summarization-with-nltk-in-python	NULL	NULL		NULL		2021
51675	Abstractive Summarization Using Pytorch | by Raymond Cheng | Towards Data Science	https://towardsdatascience.com/abstractive-summarization-using-pytorch-f5063e67510	NULL	NULL		NULL		2021
51677	How do you use NumPy, SciPy and SymPy to solve Systems of Linear Equations? | by Rukshan Pramoditha | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/how-do-you-use-numpy-scipy-and-sympy-to-solve-systems-of-linear-equations-9afed2c388af	NULL	NULL		NULL		2021
51678	Pyvis: Visualize Interactive Network Graphs in Python | by Khuyen Tran | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/pyvis-visualize-interactive-network-graphs-in-python-77e059791f01	NULL	NULL		NULL		2021
51679	Explainable Graph Neural Networks | by Remy Lau | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/explainable-graph-neural-networks-cb009c2bc8ea	NULL	NULL		NULL		2021
51680	A high level explanation of popular Neural Network architectures | by yousefnami | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/a-high-level-explanation-of-popular-neural-network-architectures-49dce63f02e8	NULL	NULL		NULL		2021
51681	The Best Practice of Reading Text Files In Python | by Christopher Tao | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/the-best-practice-of-reading-text-files-in-python-509b1d4f5a4	NULL	NULL		NULL		2021
51682	Collecting tweets from Twitter API v2  using Python 3 | Towards Data Science	https://towardsdatascience.com/an-extensive-guide-to-collecting-tweets-from-twitter-api-v2-for-academic-research-using-python-3-518fcb71df2a	NULL	NULL		NULL		2021
51683	Random Forest Algorithm in Python from Scratch | by Eligijus Bujokas | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/random-forest-algorithm-in-python-from-scratch-487b314048a8	NULL	NULL		NULL		2021
51684	A Guide to Genetic ‘Learning’ Algorithms for Optimization | by Rahulraj Singh | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/a-guide-to-genetic-learning-algorithms-for-optimization-e1067cdc77e7	NULL	NULL		NULL		2021
51685	Translational Invariance Vs Translational Equivariance | by Divyanshu Mishra | Towards Data Science	https://towardsdatascience.com/translational-invariance-vs-translational-equivariance-f9fbc8fca63a	NULL	NULL		NULL		2021
51686	Geometric foundations of Deep Learning | by Michael Bronstein | Towards Data Science	https://towardsdatascience.com/geometric-foundations-of-deep-learning-94cdd45b451d	NULL	NULL		NULL		2021
51687	Pointer Networks with Transformers | by Mason McGough | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/pointer-networks-with-transformers-1a01d83f7543	NULL	NULL		NULL		2021
51688	Importance of Loss functions in Deep Learning and Python Implementation | by Prasun Biswas | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/importance-of-loss-functions-in-deep-learning-and-python-implementation-4307bfa92810	NULL	NULL		NULL		2021
51689	How to Code BERT Using PyTorch - Tutorial With Examples - neptune.ai	https://neptune.ai/blog/how-to-code-bert-using-pytorch-tutorial	NULL	NULL		NULL		2021
51690	Positional encoding, residual connections, padding masks: covering the rest of Transformer components – Data Science Blog	https://data-science-blog.com/blog/2021/04/22/positional-encoding-residual-connections-padding-masks-all-the-details-of-transformer-model/	NULL	NULL		NULL		2021
51691	Rethinking linear algebra part two: ellipsoids in data science – Data Science Blog	https://data-science-blog.com/blog/2021/06/06/rethinking-linear-algebra-part-two-ellipsoids-in-data-science-and-mahalanobis-distance	NULL	NULL		NULL		2021
51692	Docker Compose for absolute beginners — how does it work and how to use it (+ examples) | by Mike Huls | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/docker-compose-for-absolute-beginners-how-does-it-work-and-how-to-use-it-examples-733ca24c5e6c	NULL	NULL		NULL		2021
51693	Docker for absolute beginners — what is Docker and how to use it (+ examples) | by Mike Huls | Jun, 2021 | Towards Data Science	https://mikehuls.medium.com/docker-for-absolute-beginners-what-is-docker-and-how-to-use-it-examples-3d3b11efd830	NULL	NULL		NULL		2021
51694	Docker for absolute beginners — what is Docker and how to use it (+ examples) | by Mike Huls | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/docker-for-absolute-beginners-what-is-docker-and-how-to-use-it-examples-3d3b11efd830	NULL	NULL		NULL		2021
51695	Understanding GPT-3 In 5 Minutes | by Alberto Romero | Medium | Towards Data Science	https://towardsdatascience.com/understanding-gpt-3-in-5-minutes-7fe35c3a1e52	NULL	NULL		NULL		2021
51697	The Transformer. Teaching machines attention. | Towards Data Science	https://towardsdatascience.com/the-transformer-d84a06e5bc87	NULL	NULL		NULL		2021
51698	How to Extract Structured Information from a Text through Python SpaCy | by Angelica Lo Duca | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/how-to-extract-structured-information-from-a-text-through-python-spacy-749b311161e	NULL	NULL		NULL		2021
51699	Network Learning — from Network Propagation to Graph Convolution | by Remy Lau | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/network-learning-from-network-propagation-to-graph-convolution-eb3c62d09de8	NULL	NULL		NULL		2021
51700	Understanding Masked Language Models (MLM) and Causal Language Models (CLM) in NLP | by Prakhar Mishra | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/understanding-masked-language-models-mlm-and-causal-language-models-clm-in-nlp-194c15f56a5	NULL	NULL		NULL		2021
51701	An Introduction to Reinforcement Learning: the K-Armed Bandit | by Wilson Wang | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/an-introduction-to-reinforcement-learning-the-k-armed-bandit-3399593e68e8	NULL	NULL		NULL		2021
51702	Understanding Optimization Algorithms in Machine Learning | by Supriya Secherla | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/understanding-optimization-algorithms-in-machine-learning-edfdb4df766b	NULL	NULL		NULL		2021
51704	A Gentle Introduction to Knowledge Representation Learning | by Daniel Patzer | Towards Data Science	https://towardsdatascience.com/gentle-introduction-to-knowledge-representation-learning-1ee873830219	NULL	NULL		NULL		2021
51705	A Comprehensible Explanation of the Dimensions in CNNs | by Felizia Quetscher | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/a-comprehensible-explanation-of-the-dimensions-in-cnns-841dba49df5e	NULL	NULL		NULL		2021
51706	Visualizing Graph Embeddings with t-SNE in Python | by CJ Sullivan | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/visualizing-graph-embeddings-with-t-sne-in-python-10227e7876aa	NULL	NULL		NULL		2021
51707	Sentiment Analysis: A Deep Dive Into the Theory, Methods, and Applications | by Lazarina Stoy | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/sentiment-analysis-a-deep-dive-into-the-theory-methods-and-applications-322f984f2b48	NULL	NULL		NULL		2021
51708	Decision Tree Classifier explained in real-life: picking a vacation destination | by Carolina Bento | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/decision-tree-classifier-explained-in-real-life-picking-a-vacation-destination-6226b2b60575	NULL	NULL		NULL		2021
51709	Semantic Search: Measuring Meaning From Jaccard to Bert | Towards Data Science	https://towardsdatascience.com/semantic-search-measuring-meaning-from-jaccard-to-bert-a5aca61fc325	NULL	NULL		NULL		2021
51710	Genetic Algorithms for Natural Language Processing | by Michael Berk | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/genetic-algorithms-for-natural-language-processing-b055aa7c14e9	NULL	NULL		NULL		2021
51711	Stacked Autoencoders.. Extract important features from data... | by Rajas Bakshi | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/stacked-autoencoders-f0a4391ae282	NULL	NULL		NULL		2021
51712	GANs from scratch. Dueling neural networks | by Tim Sullivan | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/gans-from-scratch-19e917edf3ea	NULL	NULL		NULL		2021
51713	Building a Biomedical Knowledge Graph | by Daniel Crowe | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/building-a-biomedical-knowledge-graph-2930c7e05760	NULL	NULL		NULL		2021
51715	Latent Dirichlet Allocation (LDA) | LDA using Gensim	https://www.analyticsvidhya.com/blog/2021/06/topic-modeling-and-latent-dirichlet-allocationlda-using-gensim-and-sklearn-part-1/	NULL	NULL		NULL		2021
51716	Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim	https://www.analyticsvidhya.com/blog/2021/06/part-2-topic-modeling-and-latent-dirichlet-allocation-lda-using-gensim-and-sklearn/	NULL	NULL		NULL		2021
51717	Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim	https://www.analyticsvidhya.com/blog/2021/06/part-3-topic-modeling-and-latent-dirichlet-allocation-lda-using-gensim-and-sklearn/	NULL	NULL		NULL		2021
51718	Backward Propagation | Backward Propagation Working in Neural Network	https://www.analyticsvidhya.com/blog/2021/06/how-does-backward-propagation-work-in-neural-networks/	NULL	NULL		NULL		2021
51720	Estimation of Neurons and Forward Propagation in Neural Net	https://www.analyticsvidhya.com/blog/2021/04/estimation-of-neurons-and-forward-propagation-in-neural-net/	NULL	NULL		NULL		2021
51721	A Simple Guide to Metrics for Calculating String Similarity	https://www.analyticsvidhya.com/blog/2021/02/a-simple-guide-to-metrics-for-calculating-string-similarity/	NULL	NULL		NULL		2021
51722	Demystification & Basics Of Logistic Regression for Data Scientists	https://www.analyticsvidhya.com/blog/2020/10/demystification-of-logistic-regression/	NULL	NULL		NULL		2020
51723	Topic Modelling using LDA | Guide to Master NLP (Part 18)	https://www.analyticsvidhya.com/blog/2021/06/part-18-step-by-step-guide-to-master-nlp-topic-modelling-using-lda-probabilistic-approach	NULL	NULL		NULL		2021
51724	Topic Modelling using pLSA | Guide to Master NLP (Part 17)	https://www.analyticsvidhya.com/blog/2021/06/part-17-step-by-step-guide-to-master-nlp-topic-modelling-using-plsa	NULL	NULL		NULL		2021
51725	Information Retrieval in NLP | Guide to Master NLP (Part 20)	https://www.analyticsvidhya.com/blog/2021/06/part-20-step-by-step-guide-to-master-nlp-information-retrieval/	NULL	NULL		NULL		2021
51726	Topic Modelling using LDA | Guide to Master NLP (Part 19)	https://www.analyticsvidhya.com/blog/2021/06/part-19-step-by-step-guide-to-master-nlp-topic-modelling-using-lda-matrix-factorization-approach/	NULL	NULL		NULL		2021
51727	Topic Modelling using LSA | Guide to Master NLP (Part 16)	https://www.analyticsvidhya.com/blog/2021/06/part-16-step-by-step-guide-to-master-nlp-topic-modelling-using-lsa/	NULL	NULL		NULL		2021
51728	Topic Modelling using NMF | Guide to Master NLP (Part 14)	https://www.analyticsvidhya.com/blog/2021/06/part-15-step-by-step-guide-to-master-nlp-topic-modelling-using-nmf/	NULL	NULL		NULL		2021
51729	Topic Modelling | Guide to Master Natural Language Processsing(Part 14)	https://www.analyticsvidhya.com/blog/2021/06/part-14-step-by-step-guide-to-master-nlp-basics-of-topic-modelling/	NULL	NULL		NULL		2021
51730	Regular Expressions | Guide to Master NLP (Part 13)	https://www.analyticsvidhya.com/blog/2021/06/part-13-step-by-step-guide-to-master-nlp-regular-expressions/	NULL	NULL		NULL		2021
51731	Grammar in NLP | Guide to Master Natural Language Processsing(Part 12)	https://www.analyticsvidhya.com/blog/2021/06/part-12-step-by-step-guide-to-master-nlp-grammar-in-nlp/	NULL	NULL		NULL		2021
51732	Syntactic Analysis | Guide to Master Natural Language Processing(Part 11)	https://www.analyticsvidhya.com/blog/2021/06/part-11-step-by-step-guide-to-master-nlp-syntactic-analysis/	NULL	NULL		NULL		2021
51733	Named Entity Recognition | Guide to Master NLP (Part 10)	https://www.analyticsvidhya.com/blog/2021/06/part-10-step-by-step-guide-to-master-nlp-named-entity-recognition/	NULL	NULL		NULL		2021
51734	Semantic Analysis | Guide to Master Natural Language Processing (Part 9)	https://www.analyticsvidhya.com/blog/2021/06/part-9-step-by-step-guide-to-master-nlp-semantic-analysis/	NULL	NULL		NULL		2021
51735	Natural Language Processing Tasks | Guide to Master NLP (Part 8)	https://www.analyticsvidhya.com/blog/2021/06/part-8-step-by-step-guide-to-master-nlp-useful-natural-language-processing-tasks/	NULL	NULL		NULL		2021
51736	Word Embedding | Guide to Master Natural Language Processing (Part 7)	https://www.analyticsvidhya.com/blog/2021/06/part-7-step-by-step-guide-to-master-nlp-word-embedding/	NULL	NULL		NULL		2021
51737	Word2Vec in NLP | Guide to Master Natural Language Processing (Part 6)	https://www.analyticsvidhya.com/blog/2021/06/part-6-step-by-step-guide-to-master-nlp-word2vec/	NULL	NULL		NULL		2021
51738	Text Vectorization and Word Embedding | Guide to Master NLP (Part 5)	https://www.analyticsvidhya.com/blog/2021/06/part-5-step-by-step-guide-to-master-nlp-text-vectorization-approaches/	NULL	NULL		NULL		2021
51739	Text Cleaning Techniques | Guide to Master NLP (Part 4)	https://www.analyticsvidhya.com/blog/2021/06/part-4-step-by-step-guide-to-master-natural-language-processing-in-python/	NULL	NULL		NULL		2021
51740	Techniques To Prevent Overfitting In Neural Networks - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/06/complete-guide-to-prevent-overfitting-in-neural-networks-part-2/	NULL	NULL		NULL		2021
51741	Gradient-Based Optimizers in Deep Learning - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/06/complete-guide-to-gradient-based-optimizers/	NULL	NULL		NULL		2021
51742	Guide to Prevent Overfitting in Neural Networks - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/06/complete-guide-to-prevent-overfitting-in-neural-networks-part-1/	NULL	NULL		NULL		2021
51743	Regularization | Regularization Techniques in Machine Learning	https://www.analyticsvidhya.com/blog/2021/05/complete-guide-to-regularization-techniques-in-machine-learning/	NULL	NULL		NULL		2021
51744	Expectation Maximization Algorithm | EM Algorithm Explained	https://www.analyticsvidhya.com/blog/2021/05/complete-guide-to-expectation-maximization-algorithm/	NULL	NULL		NULL		2021
51745	Weight Initialization Techniques in Neural Networks	https://www.analyticsvidhya.com/blog/2021/05/how-to-initialize-weights-in-neural-networks/	NULL	NULL		NULL		2021
51746	Encode Numerical Features | How to Encode Numerical Features in ML	https://www.analyticsvidhya.com/blog/2021/05/complete-guide-on-encode-numerical-features-in-machine-learning/	NULL	NULL		NULL		2021
51747	Multiclass Classification Using SVM| SVM For Multiclass Classification	https://www.analyticsvidhya.com/blog/2021/05/multiclass-classification-using-svm/	NULL	NULL		NULL		2021
51749	Artificial Neural Network Questions to Test Your Skills	https://www.analyticsvidhya.com/blog/2021/05/artificial-neural-networks-25-questions-to-test-your-skills-on-ann/	NULL	NULL		NULL		2021
51750	Dimensionality Reduction Questions To Test Your Skills	https://www.analyticsvidhya.com/blog/2021/05/20-questions-to-test-your-skills-on-dimensionality-reduction-pca/	NULL	NULL		NULL		2021
51751	Decision Trees Questions | Questions On Decision Trees	https://www.analyticsvidhya.com/blog/2021/05/25-questions-to-test-your-skills-on-decision-trees/	NULL	NULL		NULL		2021
51752	Logistic Regression Questions | Questions On Logistic Regression	https://www.analyticsvidhya.com/blog/2021/05/20-questions-to-test-your-skills-on-logistic-regression/	NULL	NULL		NULL		2021
51753	Guide to Natural Language Processing in Python (Part -1)	https://www.analyticsvidhya.com/blog/2021/06/part-1-step-by-step-guide-to-master-natural-language-processing-nlp-in-python/	NULL	NULL		NULL		2021
51754	Text Cleaning and Preprocessing | Guide to Master NLP (Part 3)	https://www.analyticsvidhya.com/blog/2021/06/part-3-step-by-step-guide-to-nlp-text-cleaning-and-preprocessing/	NULL	NULL		NULL		2021
51755	Knowledge Required to Learn NLP | Guide to NLP (Part 2)	https://www.analyticsvidhya.com/blog/2021/06/part-2-step-by-step-guide-to-master-natural-language-processing-nlp-in-python/	NULL	NULL		NULL		2021
51756	Machine Learning with Python: Logistic Regression	https://www.analyticsvidhya.com/blog/2021/05/machine-learning-with-python-logistic-regression	NULL	NULL		NULL		2021
51757	Image and Text Similarity | Introduction to Image and Text Similarity	https://www.analyticsvidhya.com/blog/2021/05/beginners-guide-to-image-and-text-similarity/	NULL	NULL		NULL		2021
51758	Optimization Algorithms for Machine Learning | by Aviejay Paul | Jul, 2021 | Towards Data Science	https://towardsdatascience.com/optimization-algorithms-for-machine-learning-e794f2e7dfa7	NULL	NULL		NULL		2021
51759	Fairness and Bias Mitigation · A Guide to Natural Language Processing With AllenNLP	https://guide.allennlp.org/fairness	NULL	NULL		NULL		2021
51760	Morning Brew | Subscribe	https://www.morningbrew.com/emerging-tech/stories/2021/01/22/nine-experts-single-biggest-obstacle-facing-ai-algorithms-next-five-years?utm_source=morning_brew	NULL	NULL		NULL		2021
51761	Amex’s Fraud Detection AI Was Ready to Go Live. Then Covid Hit.	https://www.morningbrew.com/emerging-tech/stories/2021/03/10/amexs-fraud-detection-ai-ready-go-live-covid-hit	NULL	NULL		NULL		2021
51762	Morning Brew | Subscribe	https://www.morningbrew.com/emerging-tech/stories/2021/04/02/event-recap-can-algorithm-actually-know	NULL	NULL		NULL		2021
51763	This Powerful AI Technique Led to Clashes at Google and Fierce Debate in Tech. Here's Why.	https://www.morningbrew.com/emerging-tech/stories/2021/03/29/one-biggest-advancements-ai-also-sparked-fierce-debate-heres	NULL	NULL		NULL		2021
51764	Time Series Analysis -A Beginner Friendly Guide - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/07/time-series-analysis-a-beginner-friendly-guide/	NULL	NULL		NULL		2021
51765	Principal Component Analysis for Dimensionality Reduction | by Lorraine Li | Towards Data Science	https://towardsdatascience.com/principal-component-analysis-for-dimensionality-reduction-115a3d157bad	NULL	NULL		NULL		2021
51766	403 Forbidden	https://www.kdnuggets.com/2020/05/dimensionality-reduction-principal-component-analysis.html	NULL	NULL		NULL		2021
51767	Knowledge Graph part-2 : Modelling tabular data as graph | by Nikita sharma | Medium	https://nikkisharma536.medium.com/knowledge-graph-part-2-modelling-tabular-data-as-graph-cfe1e0ee18fe	NULL	NULL		NULL		2021
51768	How to build a Knowledge Graph : part-1 – ConfusedCoders	https://confusedcoders.com/random/how-to-build-a-knowledge-graph-part-1	NULL	NULL		NULL		2019
51769	Train New BERT Model on Any Language | Towards Data Science	https://towardsdatascience.com/how-to-train-a-bert-model-from-scratch-72cfce554fc6	NULL	NULL		NULL		2021
51770	An Introduction to Logistic Regression - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/07/an-introduction-to-logistic-regression/	NULL	NULL		NULL		2021
51771	MYSQL A Beginner's Guide: Part 2 - Analytics Vidhya	https://www.analyticsvidhya.com/blog/2021/07/a-beginners-guide-to-mysql-part-2	NULL	NULL		NULL		2021
51772	Database for Beginners(Part 1) | What is Database	https://www.analyticsvidhya.com/blog/2021/07/a-beginners-guide-to-database-part-1/	NULL	NULL		NULL		2021
51773	Getting started with PyTorch. Learn the basics through examples | by Andre? Ribeiro | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/getting-started-with-pytorch-2819d7aeb87c	NULL	NULL		NULL		2021
51774	Understanding PCA | by Tivadar Danka | Towards Data Science	https://towardsdatascience.com/understanding-pca-90f7b1961fa4	NULL	NULL		NULL		2021
51775	What are Diffusion Models?	https://lilianweng.github.io/lil-log/2021/07/11/diffusion-models.html	NULL	NULL		NULL		2021
51776	Explaining RNNs without neural networks	https://explained.ai/rnn/index.html	NULL	NULL		NULL		2021
51777	A visual explanation for regularization of linear models	https://explained.ai/regularization/index.html	NULL	NULL		NULL		2021
51778	Social Network Analysis with Python | Jan Kirenz	https://www.kirenz.com/post/2019-08-13-network_analysis/	NULL	NULL		NULL		2021
51779	The Fourier transform is a neural network | sidsite	https://sidsite.com/posts/fourier-nets/	NULL	NULL		NULL		2021
51781	GraphGallery: a library for graph neural networks on PyTorch and TensorFlow	https://neurohive.io/en/news/graphgallery/	NULL	NULL		NULL		2021
51783	11 Dimensionality reduction techniques you should know in 2021 | by Rukshan Pramoditha | Towards Data Science	https://towardsdatascience.com/11-dimensionality-reduction-techniques-you-should-know-in-2021-dcb9500d388b	NULL	NULL		NULL		2021
51784	Unit 3) Genetic Algorithms (Part 1) | by Brandon Morgan | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/unit-3-genetic-algorithms-part-1-986e3b4666d7	NULL	NULL		NULL		2021
51785	Canonical Correlation Analysis | Towards Data Science	https://towardsdatascience.com/canonical-correlation-analysis-b1a38847219d	NULL	NULL		NULL		2021
51786	Unit 2) Introduction To Evolutionary Computation | by Brandon Morgan | Jun, 2021 | Towards Data Science	https://towardsdatascience.com/unit-2-introduction-to-evolutionary-computation-85764137c05a	NULL	NULL		NULL		2021
51787	Text Operations in Python | Must-Know Text Operations in Python for NLP	https://www.analyticsvidhya.com/blog/2021/07/must-know-text-operations-in-python-before-you-dive-into-nlp	NULL	NULL		NULL		2021
51788	A brief timeline of NLP from Bag of Words to the Transformer family | by Fabio Chiusano | NLPlanet | Feb, 2022 | Medium	https://medium.com/nlplanet/a-brief-timeline-of-nlp-from-bag-of-words-to-the-transformer-family-7caad8bbba56	NULL	NULL		NULL		2021
51789	Two minutes NLP — 33 important NLP tasks explained | by Fabio Chiusano | NLPlanet | Medium	https://medium.com/nlplanet/two-minutes-nlp-33-important-nlp-tasks-explained-31e2caad2b1b	NULL	NULL		NULL		2021
51791	Explainable AI: a comprehensive review of the main methods | by Francesco Dallanoce | Jan, 2022 | Medium	https://medium.com/@dallanoce.fd/explainable-ai-a-complete-summary-of-the-main-methods-a28f9ab132f7	NULL	NULL		NULL		2021
51792	The Definitive Guide to Embeddings | by Shabnam Mokhtarani | Medium	https://medium.com/@shabbyjoon/the-definitive-guide-to-embeddings-featureform-da2416998220	NULL	NULL		NULL		2021
51793	Gradient Descent Algorithm and Its Variants | by Imad Dabbura | Towards Data Science	https://towardsdatascience.com/gradient-descent-algorithm-and-its-variants-10f652806a3	NULL	NULL		NULL		2021
51795	Can We Use Stochastic Gradient Descent (SGD) on a Linear Regression Model? | by Wei Yi | Towards Data Science	https://towardsdatascience.com/can-we-use-stochastic-gradient-descent-sgd-on-a-linear-regression-model-e50327b07d33	NULL	NULL		NULL		2021
51796	A Beautiful Way of Looking at Linear Regressions | by Diego Manfre | Towards Data Science	https://towardsdatascience.com/a-beautiful-way-of-looking-at-linear-regressions-a4df174cdce	NULL	NULL		NULL		2021
51797	The Interesting World of Non-Linear Regressions | by Diego Manfre | Towards Data Science	https://towardsdatascience.com/the-interesting-world-of-non-linear-regressions-eb0c405fdc97	NULL	NULL		NULL		2021
51798	403 Forbidden	https://machinelearningmastery.com/calculus-in-action-neural-networks/	NULL	NULL		NULL		2021
51799	Eigenvectors and Eigenvalues: A deeper understanding | by Muhammad Abdullah Bilal | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/eigenvectors-and-eigenvalues-a-deeper-understanding-c715f8ded4c7	NULL	NULL		NULL		2021
51800	Derivatives. From scratch | by Kasper Mu?ller | Cantor’s Paradise	https://www.cantorsparadise.com/derivatives-1840bccf92cc	NULL	NULL		NULL		2021
51801	The Square Root Algorithm. A look at the beautiful algebra... | by Ujjwal Singh | Cantor’s Paradise	https://www.cantorsparadise.com/the-square-root-algorithm-f97ab5c29d6d	NULL	NULL		NULL		2021
51802	Complete guide to understanding Node2Vec algorithm | by Tomaz Bratanic | Towards Data Science	https://towardsdatascience.com/complete-guide-to-understanding-node2vec-algorithm-4e9a35e5d147	NULL	NULL		NULL		2021
51803	Privacy-Preserving Natural Language Processing – Medium	https://medium.com/privacy-preserving-natural-language-processing	NULL	NULL		NULL		2019
51804	Amazon explores a way to preserve privacy in natural language processing | VentureBeat	https://venturebeat.com/2020/01/23/amazon-explores-a-way-to-preserve-privacy-in-natural-language-processing/	NULL	NULL		NULL		2020
51805	Preserving privacy in analyses of textual data - Amazon Science	https://www.amazon.science/blog/preserving-privacy-in-analyses-of-textual-data	NULL	NULL		NULL		2021
51806	Complete Tutorial On Natural Language Processing using spaCy	https://www.analyticsvidhya.com/blog/2021/09/complete-tutorial-on-natural-language-processing-using-spacy/	NULL	NULL		NULL		2021
51807	Welcome | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/preface.html	NULL	NULL		NULL		2021
51808	Chapter 1 Introduction | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-1-introduction.html	NULL	NULL		NULL		2021
51809	Chapter 2 Getting Started | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-2-getting-started.html	NULL	NULL		NULL		2021
51810	Chapter 3 Obtaining Data | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-3-obtaining-data.html	NULL	NULL		NULL		2021
51811	Chapter 4 Creating Command-line Tools | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-4-creating-reusable-command-line-tools.html	NULL	NULL		NULL		2021
51812	Chapter 5 Scrubbing Data | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-5-scrubbing-data.html	NULL	NULL		NULL		2021
51813	Chapter 6 Project Management with Make | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-6-managing-your-data-workflow.html	NULL	NULL		NULL		2021
51814	Chapter 7 Exploring Data | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-7-exploring-data.html	NULL	NULL		NULL		2021
51815	Chapter 8 Parallel Pipelines | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-8-parallel-pipelines.html	NULL	NULL		NULL		2021
51816	Chapter 9 Modeling Data | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-9-modeling-data.html	NULL	NULL		NULL		2021
51817	Chapter 11 Conclusion | Data Science at the Command Line, 2e	https://www.datascienceatthecommandline.com/1e/chapter-10-conclusion.html	NULL	NULL		NULL		2021
51818	Information Theory: A Gentle Introduction | by Douglas Hamilton | Towards Data Science	https://towardsdatascience.com/information-theory-a-gentle-introduction-6abaf99835ac	NULL	NULL		NULL		2021
51819	Mutual Information: Prediction as Imitation | by Douglas Hamilton | Towards Data Science	https://towardsdatascience.com/mutual-information-prediction-as-imitation-da2cfb1e9bdd	NULL	NULL		NULL		2021
51820	Information Theory: Principles and Apostasy | by Douglas Hamilton | Towards Data Science	https://towardsdatascience.com/information-theory-principals-and-apostasy-a7c1be72be5f	NULL	NULL		NULL		2021
51821	A Gentle Introduction to Graph Neural Networks	https://distill.pub/2021/gnn-intro/	NULL	NULL		NULL		2021
51822	Take a peek at Deep Reinforcement Learning for NLP | by Aditya Tiwari | Analytics Vidhya | Medium	https://medium.com/analytics-vidhya/take-a-peek-at-deep-reinforcement-learning-for-nlp-a8e37fbd7640	NULL	NULL		NULL		2021
51824	GitHub - adityathakker/awesome-rl-nlp: Curated Reinforcement Learning Resources for Natural Language Processing	https://github.com/adityathakker/awesome-rl-nlp	NULL	NULL		NULL		2021
51825	Self-attention: step-by-step video | Peltarion	https://peltarion.com/blog/data-science/self-attention-video	NULL	NULL		NULL		2021
51826	10 Real-Life Applications of Reinforcement Learning - neptune.ai	https://neptune.ai/blog/reinforcement-learning-applications	NULL	NULL		NULL		2021
51827	Lectures – Graph Neural Networks	https://gnn.seas.upenn.edu/lectures/	NULL	NULL		NULL		2021
51828	An introduction to Graph Neural Networks | by Joao Schapke | Towards Data Science	https://towardsdatascience.com/an-introduction-to-graph-neural-networks-e23dc7bdfba5	NULL	NULL		NULL		2021
51829	An Introduction to Graph Neural Networks | Engineering Education (EngEd) Program | Section	https://www.section.io/engineering-education/an-introduction-to-graph-neural-network/	NULL	NULL		NULL		2021
51830	Introduction to Graph Neural Networks	https://www.alessandroai.com/introduction-to-graph-neural-networks/	NULL	NULL		NULL		2021
51831	The Essential Guide to GNN (Graph Neural Networks) | cnvrg.io	https://cnvrg.io/graph-neural-networks/	NULL	NULL		NULL		2021
51832	Transforming Natural Language Understanding: Attention, GPT, BERT, and Switch | by Ravish Rawal | Medium	https://ravishrawal.medium.com/transforming-natural-language-understanding-c1ac7f57613f	NULL	NULL		NULL		2021
51833	Reproducible Deep Learning - Simone Scardapane	https://www.sscardapane.it/teaching/reproducibledl/	NULL	NULL		NULL		2021
51834	Full Stack Deep Learning	https://fullstackdeeplearning.com/	NULL	NULL		NULL		2021
51835	[Text-to-SQL] Learning to query tables with natural language | by Aerin Kim | Towards Data Science	https://towardsdatascience.com/text-to-sql-learning-to-query-tables-with-natural-language-7d714e60a70d	NULL	NULL		NULL		2021
51836	Text Summarization by leveraging Natural Language Processing	https://www.analyticsvidhya.com/blog/2021/11/a-beginners-guide-to-understanding-text-summarization-with-nlp	NULL	NULL		NULL		2021
51837	DeepMind's latest AI breakthrough is its most significant yet | WIRED UK	https://www.wired.co.uk/article/deepmind-alphago-zero-nature-reinforcement-learning	NULL	NULL		NULL		2021
51838	Deep Reinforcement Learning Doesn't Work Yet	https://www.alexirpan.com/2018/02/14/rl-hard.html	NULL	NULL		NULL		2021
51839	Unity-ML Agents: The Mayan Adventure | by Thomas Simonini | Towards Data Science	https://towardsdatascience.com/unity-ml-agents-the-mayan-adventure-2e15510d653b	NULL	NULL		NULL		2021
51840	Proximal Policy Optimization (PPO) with Sonic the Hedgehog 2 and 3 | by Thomas Simonini | Towards Data Science	https://towardsdatascience.com/proximal-policy-optimization-ppo-with-sonic-the-hedgehog-2-and-3-c9c21dbed5e	NULL	NULL		NULL		2021
51841	Diving deeper into Unity-ML Agents | by Thomas Simonini | Towards Data Science	https://towardsdatascience.com/diving-deeper-into-unity-ml-agents-e1667f869dc3	NULL	NULL		NULL		2021
51842	Curiosity in Deep Reinforcement Learning | by Michael Klear | Towards Data Science	https://towardsdatascience.com/curiosity-in-deep-reinforcement-learning-understanding-random-network-distillation-747b322e2403	NULL	NULL		NULL		2021
51843	An Introduction to Unity ML-Agents | by Thomas Simonini | Towards Data Science	https://towardsdatascience.com/an-introduction-to-unity-ml-agents-6238452fcf4c	NULL	NULL		NULL		2021
51844	Reinforcement learning’s foundational flaw	https://thegradient.pub/why-rl-is-flawed/	NULL	NULL		NULL		2018
51845	The Promise of Hierarchical Reinforcement Learning	https://thegradient.pub/the-promise-of-hierarchical-reinforcement-learning/	NULL	NULL		NULL		2019
51846	Learning from humans: what is inverse reinforcement learning?	https://thegradient.pub/learning-from-humans-what-is-inverse-reinforcement-learning/	NULL	NULL		NULL		2018
51847	How to fix reinforcement learning	https://thegradient.pub/how-to-fix-rl/	NULL	NULL		NULL		2018
51848	An intro to Reinforcement Learning (with otters) – Monica Dinculescu	https://meowni.ca/posts/rl-with-otters/	NULL	NULL		NULL		2021
51849	Improvements in Deep Q Learning: Dueling Double DQN, Prioritized Experience Replay, and fixed...	https://medium.freecodecamp.org/improvements-in-deep-q-learning-dueling-double-dqn-prioritized-experience-replay-and-fixed-58b130cc5682	NULL	NULL		NULL		2021
51850	An intro to Advantage Actor Critic methods: let’s play Sonic the Hedgehog!	https://medium.freecodecamp.org/an-intro-to-advantage-actor-critic-methods-lets-play-sonic-the-hedgehog-86d6240171d	NULL	NULL		NULL		2021
51852	An introduction to Policy Gradients with Cartpole and Doom | by Thomas Simonini | We’ve moved to freeCodeCamp.org/news | Medium	https://medium.com/free-code-camp/an-introduction-to-policy-gradients-with-cartpole-and-doom-495b5ef2207f	NULL	NULL		NULL		2021
51853	Random Network Distillation: a new take on Curiosity-Driven Learning | by Thomas Simonini | data from the trenches | Medium	https://medium.com/data-from-the-trenches/curiosity-driven-learning-through-random-network-distillation-488ffd8e5938	NULL	NULL		NULL		2021
51854	Curiosity-Driven Learning through Next State Prediction | by Thomas Simonini | data from the trenches | Medium	https://medium.com/data-from-the-trenches/curiosity-driven-learning-through-next-state-prediction-f7f4e2f592fa	NULL	NULL		NULL		2021
51855	On Choosing a Deep Reinforcement Learning Library | by Thomas Simonini | data from the trenches | Medium	https://medium.com/data-from-the-trenches/choosing-a-deep-reinforcement-learning-library-890fb0307092	NULL	NULL		NULL		2021
51856	Page not found · GitHub Pages	https://himanshusahni.github.io/2018/02/23/reinforcement-learning-never-worked.html	NULL	NULL		NULL		2021
51857	Pong RL	https://cpury.github.io/pong-rl	NULL	NULL		NULL		2021
51858		http://machinelearningmechanic.com/deep_learning/reinforcement_learning/2019/12/06/a_mathematical_introduction_to_policy_gradient.html	NULL	NULL		NULL		2021