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Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)
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Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)

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,

Probabilistic Machine Learning

Advanced Topics

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Probabilistic Machine Learning by Kevin P. Murphy (Hardback Book)

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,

Probabilistic Machine Learning

Advanced Topics

Free UK delivery on this item.

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Product Description

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,

Probabilistic Machine Learning

Advanced Topics

Free UK delivery on this item.

This brand new item is available with free UK delivery using Royal Mail tracked services.

Please note: the pri;

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format

hardcover

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english

series

adaptive computation and machine learning ser.

type

textbook

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MIT Press Ltd

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