Our recommended resources for applied machine learning, with a particular emphasis on neural networks and software engineering.
Many of these course take you from beginner to state of the art and most are free.
Resources
Recommended courses:
Practical Deep Learning for Coders http://course.fast.ai/
http://course.fast.ai/part1.html:
http://course.fast.ai/part2.html
Karpathy: Neural Networks Zero to Hero
https://karpathy.ai/zero-to-hero.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/