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Probabilistic Machine Learning An Introduction

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ISBN-10: 0262046822

ISBN-13: 9780262046824

Edition: N/A

Authors: Kevin P. Murphy

List price: $163.00
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Description:

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix…    
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Book details

List price: $163.00
Publisher: MIT Press
Publication date: 3/1/2022
Binding: Hardcover
Pages: 864
Size: 8.27" wide x 9.29" long x 1.54" tall
Weight: 3.146
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;