Resources

Python programming

  • https://learnpythonthehardway.org/

  • http://pytorch.org/

  • DatatCamp - Intro to Python for Data Science (web)

  • https://campus.datacamp.com/courses/intro-to-python-for-data-science

  • Learn to Code with Python (iOS)

https://itunes.apple.com/au/app/learn-to-code-with-python/id953972812

Linear Algebra and Maths

  • FastAI Computational Linear Algebra

https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY

https://github.com/fastai/numerical-linear-algebra/blob/master/README.md

  • 3blue1brown

http://www.3blue1brown.com/

Deep learning courses

  • http://course.fast.ai/

Deep Learning Part 1: Practical Deep Learning for Coders

  • http://course.fast.ai/part2.html

Deep Learning Part 2: Cutting Edge Deep Learning for Coders

  • Coursera – Machine Learning

Machine Learning with Andrew Ng

  • Udacity – Intro to machine learning

Intro to Machine Learning

  • Stanford Stats 385 course

https://stats385.github.io/

  • David Silvers Reinforcement Learning

http://rll.berkeley.edu/deeprlcourse/

and the 2015 version: https://www.youtube.com/watch?v=2pWv7GOvuf0&t=347s

  • Stanford University CS231n, Spring 2017

https://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk

  • Stanford University CS224n: Natural Language Processing with Deep Learning

http://web.stanford.edu/class/cs224n/

Specific Machine Learning Course

  • Jermemy Howards Machine Learning Course

to be announce 2018

Deep learning competitions

https://www.kaggle.com/

Deep learning code resources

https://github.com/mbadry1/Top-Deep-Learning

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