Course Textbook

A version 0.0 of course notes can be found here .

Relevant Textbooks

• Bishop 2006, Pattern Recognition and Machine Learning
• Murphy 2012, Machine Learning: A Probabilistic Perspective
• Petersen and Pedersen 2012, The Matrix Cookbook
• Murphy 1998, Bayesian Network Tutorial
• Rabiner 1989, Tutorial on HMMs
• Sutton and Barto 2018, Reinforcement Learning: An Introduction
• Deisenroth, Faisal, and Ong 2020, Mathematics for Machine Learning