[PDF Download] Machine Learning: A Probabilistic Perspective Writen By Kevin P. Murphy
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Machine Learning: A Probabilistic Perspective - Kevin P. Murphy
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DESCRIPTION : A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. 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
DETAIL :
Author : Kevin P. Murphy
Pages : 1104 pages
Publisher : The MIT Press
Language : eng
ISBN-10 : 0262018020
ISBN-13 : 9780262018029
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.