Notes on All Things Machine Learning and Mathematics

Intro to machine learning

Generative algorithms, SVMs

Learning theory

Practical advice

Regression, gradient descent, linear models

Reinforcement learning

RL continued: more MDPs, kalman filters

Unsupervised learning