:memo: Guide (start here)

AI Playbook
Andreessen Horowitz
A fantastic overview of the AI space. Written by a VC, the materials are presented with a pragmatic undertone and a need for commercial value (for better or for worse). Readers are not expected to have a technical background, though links to increasing technical explanations are given. This is the perfect place to start for most people.


:books: Books

Neural Networks and Deep Learning
Michael Nielsen
An online book with interactive diagrams and code examples.

Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
A thorough online book from the creator of GAN (Goodfellow) and a co-recipient of the Turing Award (Bengio).

Reinforcement Learning: An Introduction
Richard S. Sutton, Andrew G. Barto
This book is regarded as the go-to textbook for diving into reinforcement learning.


:book: Courses

Machine Learning Crash Course with TensorFlow APIs
Google
Google’s ML course that is based off an internal course designed for their employees.

Practical Deep Learning for Coders
fast.ai
Top-down approach to learning deep learning using the fastai library that sits on top of PyTorch.


:ballot_box_with_check: Lists

A curated list of resources dedicated to Natural Language Processing (NLP)
Keon Kim
All the things needed (and some more) to get started on NLP.

Machine Learning Cheat Sheet
Brendan Fortuner
Explanation of all fundamental concepts with visuals.

Paper With Code (Browse SOTA)
Best solution of common AI problems with corresponding paper and implementation.