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Machine Intelligence
Edmundas Mišeikis edited this page Dec 6, 2016
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- What Are The Differences Between AI, Machine Learning, NLP, And Deep Learning? by Dmitriy Genzel on Quora (same on Forbes)
- Machine learning versus AI: what's the difference?
- What Artificial Intelligence Can and Can’t Do Right Now by Andrew Ng
- Why Deep Learning is Radically Different from Machine Learning
- The Non-Technical Guide to Machine Learning & Artificial Intelligence
- The What, How, and Why of Artificial Intelligence, Machine Learning, and Self-Driving Cars
- The 10 Best AI, Data Science and Machine Learning Podcasts
- Do machines actually beat doctors?
- Awesome Artificial Intelligence
- Awesome Machine Learning
- BatchNorm, STN, DCGAN, DRAW, soft/hard attention, char-rnn, DeepDream, NeuralStyle, TensorFlow, ResNet, AlphaGo
- Artificial Intelligence Resources
- Learn AI & Deep Learning by @SeanMEverett
- The Home of AI Info (@homeAIinfo)
- Partnership on Artificial Intelligence to Benefit People and Society
- OpenAI
- Element AI
- Microsoft AI and Research Group
-
CFI - Leverhulme Centre for the Future of Intelligence
- Future Intelligence (@LeverhulmeCFI)
- Google Assistant - Your own personal Google
- How to write with AI
- Human in A.I. Loop
- We’re Building an Open Source Self-Driving Car (Udacity)
- ASI Data Science @ASIDataScience
- We Must Stop Approaching Artificial Intelligence As a Technology
- IPsoft’s cognitive agent Amelia takes on pioneering role in banking with SEB
- The AI Revolution: Why You Need to Learn About Deep Learning
- ChatScript
-
The Empty Brain
- Your brain does not process information, retrieve knowledge or store memories. In short: your brain is not a computer
- The stupidity of Business Intelligence and why this ‘hot’ sector needs an A.I. overhaul
- Can we open the black box of AI?
- The AI disruption wave
- Real AI products arrive (O'Reilly Bots Podcast)
- Digital Trends 10: Artificial Intelligence
- 7 Ways to Introduce AI into Your Organization
- We Don't Always Know What AI Is Thinking—And That Can Be Scary
- Relax, artificial intelligence isn’t coming for your job
-
The Future of Surgery Is Robotic, Data-Driven, and Artificially Intelligent
- Verb Surgical - founded by Verily from Google and Ethicon from Johnson & Johnson
- Artificial intelligence and the evolution of the fractal economy
- Awesome Recurrent Neural Networks
- https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/
- Convolutions with OpenCV and Python
- A Neural Network for Machine Translation, at Production Scale
- Progressive neural networks (PDF)
- Beyond Deep Learning – 3rd Generation Neural Nets
- Command Line Neural Network
- IBM Watson
- DeepMind
- DeepMind Lab | on GitHub | [PDF](DeepMind Lab paper)
- Google TensorFlow
- Google Translate
- Facebook Torch
- Facebook FastText
- Twitter Cortex
- Theano
- Keras
- Comma.io
- eBrain
- api.ai - Conversational UX Platform
- clarifai - Image and Video Recognition API
- bonsai
-
PaddlePaddle by Baidu
- PArallel Distributed Deep LEarning
- on GitHub
-
X.ai - personal assistant who schedules meetings for you
- User profile
- [@xdotai(https://twitter.com/xdotai)
- Vesper - A superhuman assistant for 5% of the cost
-
AI2 - Allen Institute for Artificial Intelligence (@allenai_org)
- Data - A collection of open data sets used by AI2 researchers
- Aristo - Answering science questions
- Semantic Scholar - Semantic Literature Search
- IRIS.AI
-
Plato - Extracting knowledge from images, diagrams, and videos
- imSitu - a dataset supporting situation recognition, the problem of producing a concise summary of the situation an image depicts.
- XNOR-Net - ImageNet Classification Using Binary Convolutional Neural Networks
- Forces - Learning to Predict the Effect of Forces
- Diagram Understanding
- Charades
- Newtonian Image Understanding
- VisKE - VISual Knowledge Extraction and question answering system
- LEVAN - fully-automated visual concept learning program
-
Euclid - Solving math and geometry problems
- Live Demo
-
GeoS - End-to-End Geometry Problem Solver
- on GitHub
- Interactive Demo
- G-Aligner - Aligning geometric entities in text and diagram
- Mybridge - Reading App for Professionals
- Fuzzy.ai
- Mezi - personal assistant for travel
- Salesforce Einstein
- SQuAD - The Stanford Question Answering Dataset
- Dextro makes videos discoverable, searchable, and curatable using machine learning
- A.I. Experiments (Google)
- Wekinator
- Convnet.js
- OpenFrameworks
- General Electric
- Awesome Deep Learning
- Awesome Reinforcement Learning
- Awesome Deep Learning Papers
- Awesome Deep Learning for Computer Vision
- Awesome Computer Vision
- Awesome NLP
-
Getting Up to Speed on Deep Learning - 2016-04-28 on The Mission Medium blog by Isaac Madan
- June Update - 2016-06-20
- July Update - 2016-07-18
- July Update, Part 2 - 2016-08-02
- August Update, Part 1 - 2016-08-16
- August Update, Part 2 - 2016-08-31
- September Update, Part 1 - 2016-09-20
- September, Part 2, and October, Part 1 - 2016-10-17
- November Update
- Why Deep Learning is Suddenly Changing Your Life?
- http://www.kdnuggets.com/2016/07/start-learning-deep-learning.html#.V48yso8COzy.linkedin?platform=hootsuite
- Cloud based Deep Learning
- Machine Learning: Foundations
-
Machine Learning and Data Science Resources You Should Know About
- Reddit: Python | Machine Learning | R
- DataTau by Rohit Sivaprasad @ro_hit_
- Hacker News
- Blogs: Fast ML | Airbnb Engineering | DataCamp | Google Research | Yhat Blog
- Choosing the Right Estimator
- Kaggle blog
- 4 Google data sets to kickstart machine learning
- The Commoditization of Machine Learning
- The Commoditization of Deep Learning
-
Skymind - Deep Learning for Enterprise Level Applications
- Deep Learning for Java - Open-Source, Distributed, Deep Learning Library for the JVM
- Skymind raises $3M to bring its Java deep-learning library to the masses
- Approaching (Almost) Any Machine Learning Problem
- Why is machine learning 'hard'?
- Deep Learning Key Terms, Explained
- LEARNING REINFORCEMENT LEARNING (WITH CODE, EXERCISES AND SOLUTIONS)
- Top YouTube Videos on Machine Learning, Neural Network & Deep Learning 2015-07-08
-
16 New Must Watch Tutorials, Courses on Machine Learning
- For Newbies in Machine Learning
- How to become a Data Scientist in 6 months by Tetiana Ivanova (56:24 mins)
- PyData 101: Essential Data Science Skills For Every Programmer by Andy Terrel, Christine Doig (3:23:19 hrs)
- Beginners Guide to Machine Learning Competitions (1:43:08 hrs))
- 7 Machine Learning Recipes
- New Machine Learning Courses
- Statistical Machine Learning - 24 Lectures from CMU
- Machine Learning Course – 23 Lectures from University of Waterloo Course Material
- Practical Machine Learning Tutorial with Python (57 videos)
- [Neural Networks for Machine Learning] - Course by Geoff Hinton from University of Toronto (78 Lectures)
- Other Useful Talks
- Machine Learning With Imbalanced Data sets by Natalie Hockham (27:44 min)
- Machine Learning Tutorial on Scikit-Learn by Sebastian Raschka (3:03:54 hrs); Part 2
- Deep Learning Tutorial - Advanced Techniques by Geoffrey French (1:36:32 hrs)
- Pandas for Beginners by Francisco Correoso (1:47:48 hrs)
- Predictive Modeling with Python by Olivier Grisel (58:28 min)
- Machine Learning at Organizations
- Machine Learning: Google's Vision (44:44 min)
- Machine Learning at Pinterest by Jure Leskovec (23:54 min)
- Machine Learning Used by Grab Taxi by Kevin Lee (11:24)
- Google Mainstream Machine Learning
- Machine Learning is Fun!
- Part 1: The World’s Easiest Introduction to Machine Learning
- Part 2: Using Machine Learning to generate Super Mario Maker levels
- Part 3: Deep Learning and Convolutional Neural Networks
- Part 4: Modern Face Recognition with Deep Learning
- Part 5: Language Translation with Deep Learning and the Magic of Sequences
- Deep Learning Research Review
- 7 Free Machine Learning Courses
- Machine Learning in a Year
- Gradient-Based Learning Applied to Document Recognition (1998) by Yann LeCun et al
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9 Key Deep Learning Papers, Explained
- AlexNet - 2012
- ZF Net - 2013
- VGG Net - 2014
- GoogLeNet - 2015
- Microsoft ResNet - 2015
- Region Based CNNs
- R-CNN - 2013
- Fast R-CNN - 2015
- Faster R-CNN - 2015
- Generative Adversarial Networks - 2014
- Generating Image Descriptions - 2014
- Spatial Transformer Networks - 2015
- docker pull floydhub/dl-docker - contains TensorFlow, Caffe, Theano, Lasagne, Torch, iPython/Jupyter, Nmpy, SciPy, Pandas, Scikit Learn, Matplotlib, CUDA, cuDNN, Ubuntu 14.01