(Paperback)
By: Sean Gerrish
ISBN: 9780262537971
Readership/Audience: Professional and Scholarly
Publication Date: Oct 2019
UK Publication Date: 22nd October 2019
Publisher: MIT Press Ltd
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Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs.
(Hardback)
By: Paul Leonardi
ISBN: 9781647820107
Readership/Audience: General
Publication Date: Sep 2022
Publisher: Harvard Business Review Press
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(Paperback)
By: Anthony Mauro
ISBN: 9798350960624
Readership/Audience: General
Publication Date: Oct 2024
Publisher: BookBaby
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(Paperback)
By: Viviana Acquaviva
ISBN: 9780691206417
Readership/Audience: Tertiary Education
Publication Date: Dec 2023
Publisher: Princeton University Press
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(Hardback)
By: Moritz Hardt
ISBN: 9780691233734
Readership/Audience: Tertiary Education
Publication Date: Jan 2023
Publisher: Princeton University Press
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(Hardback)
By: Sebastian Nowozin
ISBN: 9780262028370
Readership/Audience: Professional and Scholarly
Publication Date: Dec 2014
Publisher: MIT Press Ltd
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An overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrelated and dependent outputs.
(Hardback)
By: Illah Reza Nourbakhsh
ISBN: 9780262043847
Readership/Audience: Tertiary Education
Publication Date: Mar 2020
Publisher: MIT Press Ltd
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An examination of the implications for society of rapidly advancing artificial intelligence systems, combining a humanities perspective with technical analysis; includes exercises and discussion questions.
(Paperback)
By: Matthew Burgess
ISBN: 9781847943231
Readership/Audience: General
Publication Date: Jun 2021
UK Publication Date: 25th March 2021
Publisher: Cornerstone
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The past decade has witnessed extraordinary advances in artificial intelligence. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily lives.
(Hardback, second edition)
By: Pierre Baldi
ISBN: 9780262025065
Readership/Audience: Tertiary Education
Publication Date: Jul 2001
Publisher: MIT Press Ltd
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A guide to machine learning approaches and their application to the analysis of biological data.
(Hardback)
By: Kai Hwang
ISBN: 9780262036412
Readership/Audience: Tertiary Education
Publication Date: Jun 2017
Publisher: MIT Press Ltd
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The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.
(Hardback)
By: Mykel J. Kochenderfer
ISBN: 9780262029254
Readership/Audience: General
Publication Date: Jul 2015
Publisher: MIT Press Ltd
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An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.
(Hardback)
By: Solon Barocas
ISBN: 9780262048613
Readership/Audience: General
Publication Date: Jan 2024
Publisher: MIT Press Ltd
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"This book offers a critical view on the current practice of machine learning, as well as proposed technical fixes for achieving fairness in automated decisionmaking"--
(Hardback, second edition)
By: Mehryar Mohri
ISBN: 9780262039406
Readership/Audience: Tertiary Education
Publication Date: Dec 2018
Publisher: MIT Press Ltd
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A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
(Hardback, 2nd Revised edition)
By: John D. Kelleher
ISBN: 9780262044691
Readership/Audience: Professional and Scholarly
Publication Date: Jan 2021
Publisher: MIT Press Ltd
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"A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--
(Hardback)
By: Ethem Alpaydin
ISBN: 9780262049818
Readership/Audience: General
Publication Date: Dec 2025
Publisher: MIT Press Ltd
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(Hardback)
By: Carl Edward Rasmussen
ISBN: 9780262182539
Readership/Audience: Professional and Scholarly
Publication Date: Nov 2005
Publisher: MIT Press Ltd
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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
(Hardback)
By: Kevin A. Gluck
ISBN: 9780262038829
Readership/Audience: Professional and Scholarly
Publication Date: Sep 2019
Publisher: MIT Press Ltd
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Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other.
(Hardback, second edition)
By: Robin R. Murphy
ISBN: 9780262038485
Readership/Audience: Tertiary Education
Publication Date: Oct 2019
Publisher: MIT Press Ltd
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A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications.
(Hardback)
By: Eugene Charniak
ISBN: 9780262039512
Readership/Audience: Tertiary Education
Publication Date: Jan 2019
Publisher: MIT Press Ltd
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A project-based guide to the basics of deep learning.
(Hardback, fourth edition)
By: Ethem Alpaydin
ISBN: 9780262043793
Readership/Audience: Tertiary Education
Publication Date: Mar 2020
Publisher: MIT Press Ltd
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A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.
(Hardback)
By: Jacob Eisenstein
ISBN: 9780262042840
Readership/Audience: Tertiary Education
Publication Date: Oct 2019
Publisher: MIT Press Ltd
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A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.
(Hardback)
By: Kevin P. Murphy
ISBN: 9780262018029
Readership/Audience: Tertiary Education
Publication Date: Aug 2012
Publisher: MIT Press Ltd
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
(Hardback)
By: Stefano V. Albrecht
ISBN: 9780262049375
Readership/Audience: General
Publication Date: Jan 2025
Publisher: MIT Press Ltd
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"This book provides an accessible technical introduction to the field of Multi-Agent Reinforcement Learning (MARL)"--
(Paperback, second edition)
By: Gerhard Weiss
ISBN: 9780262533874
Readership/Audience: Tertiary Education
Publication Date: Oct 2016
UK Publication Date: 28th October 2016
Publisher: MIT Press Ltd
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The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference.
