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Machine Learning A Probabilistic Perspective

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ISBN-10: 0262018020

ISBN-13: 9780262018029

Edition: 2012

Authors: Kevin P. Murphy, Francis Bach

List price: $90.00
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Description:

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, 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…    
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Book details

List price: $90.00
Copyright year: 2012
Publisher: MIT Press
Publication date: 9/18/2012
Binding: Hardcover
Pages: 1096
Size: 8.25" wide x 9.50" long x 1.75" tall
Weight: 4.598
Language: English

#60;b#62;Kevin P. Murphy#60;/b#62; is Associate Professor of History and American Studies at the University of Minnesota. He is the author of #60;i#62;Political Manhood: Red Bloods, Mollycoddles, and the Politics of Progressive Era Reform#60;/i#62; (2008), co-editor of #60;i#62;Queer Twin Cities#60;/i#62; (2010), and co-editor of "Queer Futures," a special issue of the #60;i#62;Radical History Review#60;/i#62; (2008).#60;p#62;#60;b#62;Jennifer M. Spear#60;/b#62; is Assistant Professor of History at Simon Fraser University. She is the author of #60;i#62;Race, Sex, and Social Order in Early New Orleans#60;/i#62; (2009).#60;p#62;