An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Action

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learni

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for bu

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig