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Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, John F. Canny ... [et al.]

By: Contributor(s): Material type: TextSeries: Pearson series in artificial intelligencePublication details: Harlow : Pearson, 2022Edition: 4th edDescription: 1166 pISBN:
  • 9781292401133
Subject(s): DDC classification:
  • T 006.3 RUS-A
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
Item type: Books
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Current library Call number Copy number Status Date due Barcode
UMT Main Campus T 006.3 RUS-A (Browse shelf(Opens below)) C.8 Available 153503
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.4 Checked out 2025-11-12 150142
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.5 Available 150143
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.6 Checked out 2026-04-23 150144
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.7 Checked out 2026-07-28 150145
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.2 Available 140358
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) C.3 Available 140359
UMT Main Campus 006.3 RUS-A (Browse shelf(Opens below)) Available 138851

Includes bibliographical references 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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