01877nam a22002417a 4500999001700000003000400017005001700021008004100038020001800079040000800097082002700105100002100132245004700153250001200200260002900212300002000241500109300261650003201354700002101386942001401407952011601421952009801537  c13113d13113OSt20230923113315.0230923b        xxu||||| |||| 00| 0 eng d  a9789356063570  cAEF  223rd ed.a005.133bFEN1 aRussel, S.93417  aArtificial intelligence:bA modern approch  a4th ed.  aChennai:bPearson,c2022  a1288 p.:c26 cm  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.FeaturesNontechnical 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. 0936aArtificial intelligence  aNorvig, P.93418  2ddccBook  00102ddc4070aAEFbAEFd2023-10-19e9g830.00l1m0p8661r2024-08-23s2024-08-23v1000.00w2023-10-19yBook  00102ddc4070aAEFbAEFd2023-10-19e9g830.00p8660r2023-10-19v1000.00w2023-10-19yBook