Patterns, Predictions, and Actions by Hardt & Recht
Patterns, Predictions, and Actions is a graduate-level textbook by Moritz Hardt and Benjamin Recht that serves as a modern, comprehensive introduction to machine learning, focusing on how data patterns lead to predictions and consequential actions. The book covers foundational concepts like representation, optimization, and generalization, as well as advanced topics such as causality, reinforcement learning, and the societal impacts of machine learning, offering a unique blend of technical expertise and historical context.
