Probabilistic Machine Learning: Advanced Topics
(Part of the Adaptive Computation and Machine Learning Series)
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An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including...
Format:Hardcover
Language:English
ISBN:0262048434
ISBN13:9780262048439
Release Date:August 2023
Publisher:MIT Press
Length:1360 Pages
Weight:5.42 lbs.
Dimensions:2.0" x 8.3" x 9.1"
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