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