(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: May 2022
Publisher: Harvard Business Review Press
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(Paperback)
By: Andrew Blake
ISBN: 9780262518901
Readership/Audience: Professional and Scholarly
Publication Date: Nov 1992
Publisher: MIT Press Ltd
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(Paperback)
By: Melanie Mitchell
ISBN: 9780262631853
Readership/Audience: Tertiary Education
Publication Date: Mar 1998
Publisher: MIT Press Ltd
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An introduction to genetic algorithms, using research in the field to enable readers to implement and experiment with algorithms on their own. The book focuses on topics which include machine learning and artificial life and describes applications in dynamic systems, biology and ecology.
(Paperback)
By: Joaquin Quinonero-Candela
ISBN: 9780262545877
Readership/Audience: Tertiary Education
Publication Date: Jun 2022
Publisher: MIT Press Ltd
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An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.
(Paperback)
By: David W. Murray
ISBN: 9780262528160
Readership/Audience: Professional and Scholarly
Publication Date: Sep 1990
Publisher: MIT Press Ltd
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This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world.
(Paperback)
By: Suvrit Sra
ISBN: 9780262537766
Readership/Audience: Professional and Scholarly
Publication Date: Sep 2011
Publisher: MIT Press Ltd
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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.
(Paperback)
By: Tamir Hazan
ISBN: 9780262549943
Readership/Audience: Professional and Scholarly
Publication Date: Dec 2023
Publisher: MIT Press Ltd
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(Paperback)
By: Anthony Mauro
ISBN: 9798350960624
Readership/Audience: General
Publication Date: Jul 2024
Publisher: BookBaby
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(Paperback)
By: Arlindo Oliveira
ISBN: 9780262535236
Readership/Audience: General
Publication Date: Mar 2018
Publisher: MIT Press Ltd
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How developments in science and technology may enable the emergence of purely digital mindsintelligent machines equal to or greater in power than the human brain.
(Paperback)
By: Hector J. Levesque
ISBN: 9780262534741
Readership/Audience: General
Publication Date: Aug 2017
Publisher: MIT Press Ltd
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Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that require thought.
(Paperback)
By: Viviana Acquaviva
ISBN: 9780691206417
Readership/Audience: Tertiary Education
Publication Date: Aug 2023
Publisher: Princeton University Press
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(Hardback)
By: Moritz Hardt
ISBN: 9780691233734
Readership/Audience: Tertiary Education
Publication Date: Oct 2022
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: Marc G. Bellemare
ISBN: 9780262048019
Readership/Audience: General
Publication Date: Jun 2023
Publisher: MIT Press Ltd
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"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--
(Hardback)
By: Jonas Peters
ISBN: 9780262037310
Readership/Audience: Tertiary Education
Publication Date: Nov 2017
Publisher: MIT Press Ltd
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.
(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"--
