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(Hardback)
By: Hridesh Rajan
ISBN: 9780262045452
Readership/Audience: General
Publication Date: Jun 2022
Publisher: MIT Press Ltd
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"A Java-based experiential text for the introductory programming languages course"--
(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"--
(Paperback)
By: Hany Farid
ISBN: 9780262537490
Readership/Audience: General
Publication Date: Sep 2019
UK Publication Date: 10th September 2019
Publisher: MIT Press Ltd
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A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media.
(Paperback)
By: Lars Lindemann
ISBN: 9780262049719
Readership/Audience: General
Publication Date: May 2025
Publisher: MIT Press Ltd
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(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: 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
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'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 .
(Paperback)
By: Keith L. Downing
ISBN: 9780262545617
Readership/Audience: General
Publication Date: Aug 2023
Publisher: MIT Press Ltd
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"This book investigates the notion that the brain's primary function is prediction and uses deep learning to explore how our brains manage prediction and how this can lead to improved AI systems"--
(Paperback)
By: Lynette Jones
ISBN: 9780262535809
Readership/Audience: General
Publication Date: Sep 2018
UK Publication Date: 4th September 2018
Publisher: MIT Press Ltd
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An accessible, nontechnical overview of active touch sensing, from sensory receptors in the skin to tactile surfaces on flat screen displays.
(Paperback)
By: DK
ISBN: 9780241302293
Readership/Audience: General
Publication Date: Jul 2018
UK Publication Date: 5th July 2018
Publisher: Dorling Kindersley Ltd
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(Hardback)
By: Hamid R. Ekbia
ISBN: 9780262036252
Readership/Audience: General
Publication Date: May 2017
Publisher: MIT Press Ltd
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An exploration of a new division of laborbetween machines and humans, in which people provide value to the economy with little or no compensation.
(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.
(Paperback)
By: Emerson W. Pugh
ISBN: 9780262517201
Readership/Audience: Professional and Scholarly
Publication Date: Jan 2003
Publisher: MIT Press Ltd
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IBM's 360 and Early 370 Systems describes the creation of this remarkable system and the developments it spawned, including its successor, System/370.
(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)
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.
(Hardback)
By: Francis Bach
ISBN: 9780262049443
Readership/Audience: General
Publication Date: Jan 2025
Publisher: MIT Press Ltd
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"The aim of this book is to provide the simplest formulations that can be derived "from first principles" with simple arguments"--
(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.
