Machine learning [electronic resource] : a probabilistic perspective

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자료유형	단행본
서명/저자사항	Machine learning [electronic resource]: a probabilistic perspective / Kevin P. Murphy.
개인저자	Murphy, Kevin P., 1970-.
발행사항	Cambridge, Mass.: MIT Press, c2012.
형태사항	1 online resource (xxix, 1067 p.) : ill. (chiefly col.).
총서사항	Adaptive computation and machine learning series
기타형태 저록	Print version: Murphy, Kevin P., 1970- Machine learning. Cambridge, Mass. : MIT Press, c2012 0262018020
ISBN	9780262305242 (electronic bk.) 0262305240 (electronic bk.)
서지주기	Includes bibliographical references and indexes.
요약	"This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover.
일반주제명	Machine learning. Probabilities. COMPUTERS / Enterprise Applications / Business Intelligence Tools. COMPUTERS / Intelligence (AI) & Semantics. Machine-learning. Machine learning. Probabilities.
분류기호(DDC)	006.31
언어	영어
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