Resources to learn Python for machine learning :- https://www.datacamp.com/courses/tech:python
datacamp subscription for 2 months - also have lynda.com, pluralsight etc with them :- https://docs.microsoft.com/en-us/visualstudio/subscriptions/vs-datacamp
blog about lots of papers on data science and new things : https://calculatedcontent.com/ https://github.com/CalculatedContent/tsvm
machine learning books : https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
Olivier Grisel Datageek and scikit-learn contributor quora link : https://www.quora.com/profile/Olivier-Grisel https://www.quora.com/How-do-I-become-a-data-scientist-without-a-PhD
kdnuggets online tutorials : https://www.kdnuggets.com/tutorials/index.html
Course on maths :
https://reference.wolfram.com/
Analytics vidya : https://www.analyticsvidhya.com/ultimate-plan-data-scientist-2016/
Digits database mnist db : http://yann.lecun.com/exdb/mnist/
Python, pip, anaconda and miniconda installation guide for MacOS: https://wilsonmar.github.io/python-install/
Netflix blog for jupyter notebook innovation - (also have data roles and workings) https://medium.com/netflix-techblog/notebook-innovation-591ee3221233
Deep Learning : Jeremy Howard - http://course.fast.ai/ http://course.fast.ai/part2.html
Forbes list of courses
Andrew Ng - https://www.deeplearning.ai/ Assignmemts online : https://github.com/Gurupradeep/deeplearning.ai-Assignments
https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN Michael Nielsen - (good online pdf) http://neuralnetworksanddeeplearning.com/
Siraj Raval - Curriculum link https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks/
Machine Learning : Andrew Ng https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN
Standford playlist for machine learning - https://www.youtube.com/results?search_query=Machine+Learning+%28Stanford%29
Siraj Raval - Curriculam link https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months
Jeremy Howard - http://forums.fast.ai/t/another-treat-early-access-to-intro-to-machine-learning-videos/6826
fast.ai 2nd volume - https://github.com/cedrickchee/knowledge/blob/master/courses/fast.ai/deep-learning-part-2/2018-edition/lesson-14-image-segmentation.md
Geoffrey Hinton - (Father of deep learning) https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9&disable_polymer=true
Peter Norvig and Sebastian Thrun Udacity course - https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
Data visualization : https://carto.com/blog/eighty-data-visualizations-examples-using-location-data-maps/
Median Blog: Curated List https://medium.com/machine-learning-in-practice/my-curated-list-of-ai-and-machine-learning-resources-from-around-the-web-9a97823b8524 Fast.ai deep learning lessons summary https://medium.com/@hiromi_suenaga/deep-learning-2-part-1-lesson-2-eeae2edd2be4
Chris Albon https://chrisalbon.com/
Maths
Rachel Thomas - fast.ai https://github.com/fastai/numerical-linear-algebra https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY&disable_polymer=true
Fast.ai http://www.fast.ai/tag/courses/
NLP lectures
https://www.youtube.com/channel/UC5zx8Owijmv-bbhAK6Z9apg/playlists
MIT self driving cars https://trello.com/c/g58zlHLN/158-mit-self-driving-car-course
MIT general ai https://agi.mit.edu/
Good github ML links https://github.com/ZuzooVn/machine-learning-for-software-engineers
Genetic algorithm - ai playing games https://github.com/Code-Bullet
Things explained visually http://setosa.io/#/
To read https://towardsdatascience.com/which-nba-players-are-most-similar-machine-learning-provides-the-answers-r-project-b903f9b2fe1f https://towardsdatascience.com/using-tensorflow-object-detection-to-control-first-person-shooter-games-c2c7f1daf2e9
Project Material 1. Sketch to HTML https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/ https://github.com/emilwallner/Screenshot-to-code/blob/master/README.md https://arxiv.org/abs/1705.07962 https://machinelearningmastery.com/develop-a-caption-generation-model-in-keras/ https://github.com/tonybeltramelli/pix2code https://airbnb.design/sketching-interfaces/ https://sketch2code.azurewebsites.net/ https://airbnb.design/sketching-interfaces/ uizard
Python basics : http://cs231n.github.io/python-numpy-tutorial/