This is a broad but thorough intermediate level course of statistical machine learning, emphasising the mathematical, statistical, and computational aspects.

View My GitHub Profile

## COMP8600/4670 Statistical Machine Learning

#### at the Australian National University

https://sml-anu.github.io

Course info and key logistics

A list of frequently asked questions is here.

## Current text book and references:

(**PRML**) **Christopher M. Bishop: Pattern Recognition and Machine, Springer, 2006** (selected parts), available here

We also recommend:

- (
**MML**) Deisenroth, Faisal, and Ong, Mathematics for Machine Learning. Cambridge University Press.
- (
**MLStory**) Moritz Hardt and Benjamin Recht, Patterns, Predictions and Actions: A story about machine learning
- MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge University Press
- (
**PML**) Murphy, Probabilistic Machine Learning: An Introduction, MIT Press, 2021