Probabilistic Machine Learning

Advanced Topics

Kevin P. Murphy

$340

Hardback

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English

MIT Press
19 September 2023

Computing: general

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 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 deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.

Covers generation of high dimensional outputs, such as images, text, and graphs

Discusses methods for discovering insights about data, based on latent variable models

Considers training and testing under different distributions Explores how to use probabilistic models and inference for causal inference and decision making Features online Python code accompaniment

By: Kevin P. Murphy
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 203mm,
Weight: 567g
ISBN: 9780262048439
ISBN 10: 0262048434
Pages: 1360
Publication Date: 19 September 2023
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on artificial intelligence, machine learning, and Bayesian modeling.

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Probabilistic Machine Learning

Advanced Topics

Kevin P. Murphy

$340

Hardback

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