Contents
Lessons
Lessons 1–6
Foundations
Setup, what AI is, what a contest problem looks like, and Python for data.
Lessons 7–13
Classic machine learning
The classic models and honest evaluation, plus search, NLP and vision without neural nets.
Lessons 14–20
Deep learning
Neural networks in PyTorch, CNNs, embeddings and reinforcement learning.