Probabilistic Machine Learning: An Introduction
(Part of the Adaptive Computation and Machine Learning Series)
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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...
Format:Hardcover
Language:English
ISBN:0262046822
ISBN13:9780262046824
Release Date:March 2022
Publisher:MIT Press
Length:864 Pages
Weight:3.40 lbs.
Dimensions:1.5" x 8.0" x 9.1"
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