Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers: Ming-Wei Chang [and eight others]

By:

Russell, Stuart J. (Stuart Jonathan) [author]

Contributor(s):

Material type: Text

TextSeries: Pearson series in artificial intelligencePublication details: Harlow : Pearson, ©2022Edition: Fourth edition; Global editionDescription: 1166 pages : illustrations (chiefly color) ; 26 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781292401133
1292401133

Subject(s):

DDC classification:

006.3 23 RUS

LOC classification:

Q335 .R86 2022

Summary: The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	Main Library General Stacks	Non-fiction	006.3 RUS (Browse shelf(Opens below))	1	Available	MUL24080167
Books	Main Library General Stacks	Non-fiction	006.3 RUS (Browse shelf(Opens below))	2	Available	MUL24080168
Books	Main Library General Stacks	Non-fiction	006.3 RUS (Browse shelf(Opens below))	3	Available	MUL24080169

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Authorized adaption from the United States edition, entitled Artificial intelligence: a modern approach, 4th edition, ISBN 9780134610993 by Stuart J. Russell and Peter Norvig, published by Pearson Education ©2021

Includes bibliographical references (pages 1084-1118) and index

The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI

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