Machine Learning

Also see Artificial Intelligence, Probability and Statistics, Teaching in the Age of LLMs

Recommended

Lindholm, A.; Wahlström, N.; Lindsten, F.; Schön, T. B. Machine Learning: A First Course for Engineers and Scientists, Cambridge University Press, 2022. (Free PDF)

Strong recommendations!

Guido, Müller, Introduction to Machine Learning with Python: A Guide for Data Scientists

Good coding examples. GitHub Repo

Kilian Q. Weinberger's course Intro to Machine Learning

The Little Book of Deep Learning by François Fleuret.

He formatted the book for reading on smartphones -- such innovative people!

MacKay, D. J. C. Information Theory, Inference, and Learning Algorithms; Cambridge : Cambridge University Press, 2005. (Free copy

Wu, J. Distribution Shifts in Trustworthy Machine Learning. AI Magazine 2026, 47 (1), e70057.

Shtoff, A. Are polynomial features the root of all evil? Blog post (accessed 2024-01-24)

Very interesting!