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Machine learning : a probabilistic perspective / [electronic resource]

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자료유형E-Book
개인저자Murphy, Kevin P., 1970-
서명/저자사항Machine learning[electronic resource] :a probabilistic perspective /Kevin P. Murphy.
발행사항Cambridge, Mass. : MIT Press, c2012
형태사항1 online resource (xxix, 1067 p.) : ill. (chiefly col.)
총서사항Adaptive computation and machine learning series
ISBN9780262305242 (electronic bk.)
0262305240 (electronic bk.)


서지주기Includes 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.
일반주제명Machine learning.
Probabilities.
COMPUTERS / Enterprise Applications / Business Intelligence Tools.
COMPUTERS / Intelligence (AI) & Semantics.
Machine-learning.
Machine learning.
Probabilities.
언어영어
기타형태 저록Print version:Murphy, Kevin P., 1970-Machine learning.Cambridge, Mass. : MIT Press, c20120262018020
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=480968

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