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

By: Contributor(s): Material type: TextTextSeries: 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 Date due Barcode
Books Books Main Library General Stacks Non-fiction 006.3 RUS (Browse shelf(Opens below)) 1 Available MUL24080167
Books Books Main Library General Stacks Non-fiction 006.3 RUS (Browse shelf(Opens below)) 2 Available MUL24080168
Books Books Main Library General Stacks Non-fiction 006.3 RUS (Browse shelf(Opens below)) 3 Available MUL24080169

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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