000			01520nam a22001697a 4500
005			20260425133300.0
020			_a978-9356063570
082			_a006.3 RUS
100			_aStuart Russell _91133
100			_aPeter Norvig _9823
245			_aArtificial Intelligence: A Modern Approach_4th Edition
250			_a4
260			_aPearson Education _bNew Delhi _c2025
520			_aThe 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, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI. Features Nontechnical learning material introduces major concepts using intuitive explanations, before going into mathematical or algorithmic details. A unified approach to AI shows students how the various subfields of AI fit together to build actual, useful programs. In-depth coverage of both basic and advanced topics provides students with a basic understanding of the frontiers of AI without compromising complexity and depth. NEW - New chapters feature expanded coverage of probabilistic programming; multiagent decision making; deep learning; and deep learning for natural language processing.
650			_aCSE _914
942			_cBK
999			_c38046 _d38046