Data Science and Machine Learning by Kroese, Botev, Taimre, & Vaisman
The Little Book of Deep Learning by François Fleuret
Step-By-Step Diffusion: An Elementary Tutorial by Nakkiran et al
Foundations of Reinforcement Learning and Interactive Decision Making by Foster & Rakhlin
Patterns, Predictions, and Actions by Hardt & Recht
Deep Learning Foundations and Concepts by Bishop & Bishop
Mathematics for Machine Learning by Deisenroth, Faisal, & Ong
Algorithms by Jeff Erickson
Foundations of Large Language Models by Xiao and Zhu
Introduction to Machine Learning by Laurent Younes