000			01512nam a22001577a 4500
020			_a9789356063570
082			_a006.3 St911 A _b400212
100			_aStuart Russell _aPeter Norvig
245			_aArtificial Intelligence _b: A Modern Approach
250			_a4th ed.
260			_aDelhi _bPearson _c2023
300			_a1288
500			_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			_aArtificial intelligence _aComputer science
942			_cBK
999			_c83031 _d83031