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Probabilistic Machine Learning : An Introduction /

By:

Murphy, Kevin P

Publication details: London: The MIT Press, 2022.Description: xxix, 823p 21cm x 28cmISBN:

978-0262046824

Subject(s):

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 covers notation

DDC classification:

006.31 MUR-P

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Air University Multan Campus Library	Computer Science	006.31 MUR-P (Browse shelf(Opens below))	Available	P004966

Includes bibliography.

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