Skip to content
MIT Press
  • MIT Press
  • Books
    • Column
      • View all subjects
      • New releases
      • Catalogs
      • Textbooks
      • Series
      • Awards
    • Column
      • Authors
      • Distributed presses
      • The MIT Press Reader
      • Podcasts
      • Collections
    • Column
      • MIT Press Direct

        MIT Press Direct is a distinctive collection of influential MIT Press books curated for scholars and libraries worldwide.

        • Learn more
  • Journals
    • column
      • Journals all topics
      • Economics
      • International Affairs, History, & Political Science
    • column
      • Arts & Humanities
      • Science & Technology
      • Open access
    • column
      • MIT Press journals

        MIT Press began publishing journals in 1970 with the first volumes of Linguistic Inquiry and the Journal of Interdisciplinary History. Today we publish over 30 titles in the arts and humanities, social sciences, and science and technology.

        • Learn more
  • Open Access
    • column
      • Open access at the MIT Press
      • Open access initiatives
      • Direct to Open
      • MIT Open Publishing Services
    • column
      • Open access books
      • Open access journals
      • MIT Press Open Access @ PubPub
      • Open Encyclopedia of Cognitive Science
    • Column
      • Open access

        The MIT Press has been a leader in open access book publishing for over two decades, beginning in 1995 with the publication of William Mitchell’s City of Bits, which appeared simultaneously in print and in a dynamic, open web edition.

        • Learn more
  • Info for
    • column
      • Current authors
      • Prospective authors
      • Instructors
    • column
      • Media inquiries
      • Booksellers
      • Rights and permissions
    • column
      • Resources

        Collaborating with authors, instructors, booksellers, librarians, and the media is at the heart of what we do as a scholarly publisher. If you can’t find the resource you need here, visit our contact page to get in touch.

        • Learn more
  • Give
  • About
    • Column
      • About
      • Jobs
      • Internships
      • MIT Press Editorial Board
      • MIT Press Management Board
      • Our MIT story
    • Column
      • Catalogs
      • News
      • Events
      • Conferences
      • Bookstore
    • Column
      • The MIT Press

        Established in 1962, the MIT Press is one of the largest and most distinguished university presses in the world and a leading publisher of books and journals at the intersection of science, technology, art, social science, and design.

        • Learn more
  • Contact Us
Newsletter
MIT Press
Newsletter

Books

    Authors

      On the site

        COMPUTERS / Data Science / Machine Learning

        Showing results 1-10 of 32

        • Books
        • Site Content
        Filter Results OPEN +
        Searching...
        ‹1234›
        Fundamentals of Active Inference

        Fundamentals of Active Inference

        Fundamentals of Active Inference

        Principles, Algorithms, and Applications of the Free Energy Principle for Engineers

        by Sanjeev V. Namjoshi

        ISBN: 9780262050951

        Publisher: The MIT Press

        Pub Date: March 17, 2026

        A comprehensive, up-to-date introduction to active inference and the free energy principle for an engineering-focused audience.
        The Deep Learning Revolution

        The Deep Learning Revolution

        The Deep Learning Revolution

        by Terrence J. Sejnowski

        ISBN: 9780262544993

        Publisher: The MIT Press

        Pub Date: February 3, 2026

        How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.
        Fundamentals of Probability and Statistics for Machine Learning

        Fundamentals of Probability and Statistics for Machine Learning

        Fundamentals of Probability and Statistics for Machine Learning

        by Ethem Alpaydın

        ISBN: 9780262049818

        Publisher: The MIT Press

        Pub Date: December 2, 2025

        An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics with their applications in machine learning.
        Simulation, Optimization, and Machine Learning for Finance

        Simulation, Optimization, and Machine Learning for Finance, second edition

        Simulation, Optimization, and Machine Learning for Finance

        by Dessislava A. Pachamanova, Frank J. Fabozzi and Francesco A. Fabozzi

        ISBN: 9780262049801

        Publisher: The MIT Press

        Pub Date: September 9, 2025

        A comprehensive guide to simulation, optimization, and machine learning for finance, covering theoretical foundations, practical applications, and data-driven decision-making.
        How to Speak Machine

        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

        Machine Learning in Production

        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

        Learning Theory from First Principles

        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

        Multi-Agent Reinforcement Learning

        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

        Veridical Data Science

        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

        Agents in the Long Game of AI

        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.
        ‹1234›

        logo
        • Column 1
          • Books
          • Journals
          • The MIT Press Reader
          • Podcasts
          • Imprints
        • Column 2
          • The MIT Press
            • About
            • Bookstore
            • Catalogs
            • Conferences
            • Press Editorial Board
            • Jobs
            • Internships
            • Press Management Board
            • News
            • Staff
            • Code of Conduct
        • Column 3
          • Site Help
            • Accessibility at MIT
            • FAQ
            • MIT Press Accessibility
            • Our eBooks
            • Privacy Policy
            • Terms of Use
        • Column 4
          • Resources
            • Current Authors
            • Prospective Authors
            • Booksellers
            • Instructors
            • Rights and Permissions
            • Media Inquiries
            • MIT Discounts
        • Column 5
          • Digital
            • CogNet
            • Digital Partners and Products
            • Knowledge Futures Group
            • MIT Press Direct
        • Global

          255 Main Street
          9th Floor Cambridge, MA 02142

        • Contact

        Connect

        © 2025 MIT Press. All Rights Reserved.

        Powered by Supadu