(Hardback)
By: Ian Goodfellow
ISBN: 9780262035613
Readership/Audience: Professional and Scholarly
Publication Date: Nov 2016
Publisher: MIT Press Ltd
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
(Hardback)
By: W. Russell Neuman
ISBN: 9780262048484
Readership/Audience: General
Publication Date: Oct 2023
UK Publication Date: 20th September 2023
Publisher: MIT Press Ltd
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(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)
By: Antonio Torralba
ISBN: 9780262048972
Readership/Audience: General
Publication Date: May 2024
Publisher: MIT Press Ltd
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(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.
(Paperback, Main - Print on Demand)
By: Martyn Amos
ISBN: 9781843542254
Readership/Audience: General
Publication Date: Aug 2007
Publisher: Atlantic Books
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'An elegant primer on a mind-blowing technology that could change our lives out of all recognition... The story of how Adleman built the first primitive DNA computer is as compelling as anything by Isaac Asimov or Philip Dick.' Andrew Smith, Mail on Sunday
(Hardback)
By: Eric Schmidt
ISBN: 9781399819107
Readership/Audience: General
Publication Date: Feb 2025
UK Publication Date: 21st November 2024
Publisher: John Murray Press
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Three pioneering thinkers offer a powerful guide to our future amid AI's rapid acceleration.
(Paperback)
By: Cade Metz
ISBN: 9781847942159
Readership/Audience: General
Publication Date: May 2022
UK Publication Date: 27th January 2022
Publisher: Cornerstone
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And he poses the question that will dominate the next half-century: where will AI take us next
________________________________________________
'Metz tells his engrossing story through the lives of a dozen geniuses, scores of brilliant men (mostly), and an ongoing, cutthroat industrial and academic arms race .
(Hardback)
By: Dhabaleswar K. Panda
ISBN: 9780262046855
Readership/Audience: General
Publication Date: Sep 2022
Publisher: MIT Press Ltd
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"This book explores how to achieve high performance and scalability for big data middleware and applications"--
(Hardback)
By: Nigel Toon
ISBN: 9781911709466
Readership/Audience: General
Publication Date: Mar 2024
UK Publication Date: 8th February 2024
Publisher: Transworld Publishers Ltd
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(Paperback)
By: Isabella Tisenhusen
ISBN: 9781526532749
Readership/Audience: Professional and Scholarly
Publication Date: Apr 2025
Publisher: Bloomsbury Publishing PLC
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Builds a bridge between legal professionals and new technologies explaining how they are affecting the legal industry and how the industry can integrate them effectively and be ready for them.
(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)
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.
(Paperback)
By: Stephan Raaijmakers
ISBN: 9780262552691
Readership/Audience: General
Publication Date: Dec 2025
UK Publication Date: 21st October 2025
Publisher: MIT Press Ltd
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An in-depth history of Large Language Models and what their ubiquity, disruption, and creativity mean from a wider sociopolitical perspective.
(Paperback)
By: Ruth Aylett
ISBN: 9780262546041
Readership/Audience: General
Publication Date: May 2023
UK Publication Date: 28th April 2023
Publisher: MIT Press Ltd
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"An intimate understanding of what robots are for the average popular science reader, with a focus dispelling fears and showcasing how humans might interact with robots"--
(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.
(Paperback)
By: Thierry Poibeau
ISBN: 9780262534215
Readership/Audience: General
Publication Date: Sep 2017
UK Publication Date: 15th September 2017
Publisher: MIT Press Ltd
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A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry.
(Paperback)
By: Ronald J. Brachman
ISBN: 9780262547321
Readership/Audience: General
Publication Date: Nov 2023
UK Publication Date: 17th October 2023
Publisher: MIT Press Ltd
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(Hardback)
By: Ronald J. Brachman
ISBN: 9780262046794
Readership/Audience: General
Publication Date: May 2022
UK Publication Date: 10th May 2022
Publisher: MIT Press Ltd
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"The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy"--
