Patterns, Predictions, and Actions: A Machine Learning Textbook by Princeton University Press

Summary

This appears to be the table of contents and metadata for an academic textbook titled 'Patterns, Predictions, and Actions' published by Princeton University Press. The content covers fundamental topics in machine learning and data science including supervised learning, deep learning, optimization, generalization, causality, causal inference, reinforcement learning, and sequential decision making. The book includes mathematical background sections and problem sets.