Probabilistic Machine Learning: An Introduction - Hardcover
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Availability:In StockContributor:Kevin P. MurphySeries:Adaptive Computation and Machine LearningPublish date:2022-03-01Pages:864
Language:EnglishPublisher:MIT PressISBN-13:9780262046824ISBN-10:262046822UPC:9780262046824Book Category:ComputersBook Subcategory:Data Science, Artificial Intelligence, Computer ScienceBook Topic:Machine LearningSize:9.13 x 8.03 x 1.50 inchesWeight:3.4039Product ID:SC2TMBE46P
Probabilistic Machine Learning: An Introduction
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...
Series: Adaptive Computation and Machine Learning
Language:EnglishPublisher:MIT PressISBN-13:9780262046824ISBN-10:262046822UPC:9780262046824Book Category:ComputersBook Subcategory:Data Science, Artificial Intelligence, Computer ScienceBook Topic:Machine LearningSize:9.13 x 8.03 x 1.50 inchesWeight:3.4039Product ID:SC2TMBE46P
Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on AI, machine learning, computer vision, and natural language understanding.
Publisher: MIT Press
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