Probabilistic Machine Learning Book Reviews
Probabilistic Machine Learning by Kevin P. Murphy Book Summary
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 distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompaniment
Book Name | Probabilistic Machine Learning |
Genre | Computers & Internet |
Author | Kevin P. Murphy |
Published | 15 August 2023, Tuesday |
Language | English |
E-Book Size | 45.96 MB |
Probabilistic Machine Learning (Kevin P. Murphy) Book Reviews 2024
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Download Link | Book Format |
probabilistic-machine-learning-ebook.pdf | |
probabilistic-machine-learning-ebook.epub | EPUB |
probabilistic-machine-learning-ebook.kindle | KINDLE |
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Summary of Probabilistic Machine Learning by Kevin P. Murphy
The Probabilistic Machine Learning book written by Kevin P. Murphy was published on 15 August 2023, Tuesday in the Computers & Internet category. A total of 162 readers of the book gave the book 0 points out of 5.
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