000			01856nam a2200229Ia 4500
005			20250403124408.0
008			230228s2023||||xx |||||||||||||| ||eng||
020			_a9789356063570
041			_aEnglish
082			_a006.3 R97, 4
100			_aRussell, Stuart J. _eAuthor _9369
100			_aNorvig, Peter _eCo-Author _9370
245		0	_aArtificial intelligence: A modern approach
250			_a4th ed.
260			_aChennai: _bPearson India Education Services Pvt. Ltd. , _c2023.
300			_a1288p.; 21cms.
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			_aDepth of the field of artificial intelligence (AI) _95843
650			_aMachine learning, deep learning, transfer learning _95844
650			_aRobotics and natural language processing _95845
942			_cBK
999			_c495 _d495