Course info and key logistics
- 2023 edition
- 2022 edition, (local mirror )
- 2021 edition
A list of frequently asked questions is here.
(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