Computers / Data Science / Machine Learning

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How to Speak Machine, with a new preface by the author

How to Speak Machine

A Gentle Introduction to Artificial Intelligence

by John Maeda

ISBN: 9780262553179

Publisher: The MIT Press

Pub Date: May 20, 2025

A simple, enduring framework for understanding the complex world of AI and machine learning—updated with a new preface.

Machine Learning in Production

From Models to Products

by Christian Kästner

ISBN: 9780262049726

Publisher: The MIT Press

Pub Date: April 8, 2025

A practical and innovative textbook detailing how to build real-world software products with machine learning components, not just models.

Learning Theory from First Principles

by Francis Bach

ISBN: 9780262049443

Publisher: The MIT Press

Pub Date: December 24, 2024

A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.

Multi-Agent Reinforcement Learning

Foundations and Modern Approaches

by Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer

ISBN: 9780262049375

Publisher: The MIT Press

Pub Date: December 17, 2024

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL's models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.

Veridical Data Science

The Practice of Responsible Data Analysis and Decision Making

by Bin Yu and Rebecca L. Barter

ISBN: 9780262049191

Publisher: The MIT Press

Pub Date: October 15, 2024

Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.

Agents in the Long Game of AI

Computational Cognitive Modeling for Trustworthy, Hybrid AI

by Marjorie McShane, Sergei Nirenburg and Jesse English

ISBN: 9780262549424

Publisher: The MIT Press

Pub Date: September 3, 2024

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.

Artificial Intelligence

A Systems Approach from Architecture Principles to Deployment

by David R. Martinez and Bruke M. Kifle

ISBN: 9780262048989

Publisher: The MIT Press

Pub Date: June 11, 2024

The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.

Foundations of Computer Vision

by Antonio Torralba, Phillip Isola and William T. Freeman

ISBN: 9780262048972

Publisher: The MIT Press

Pub Date: April 16, 2024

An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.