Probabilistic Machine Learning: An Introduction

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🔘 Book page: probml.github.io/pml-book/book1.html

Objective

“In this book, we will cover the most common types of ML, but from a probabilistic perspective. Roughly speaking, this means that we treat all unknown quantities (e.g., predictions about the future value of some quantity of interest, such as tomorrow’s temperature, or the parameters of some model) as random variables, that are endowed with probability distributions which describe a weighted set of possible values the variable may have.[…].”. _{(Source: Probabilistic Machine Learning: An Introduction)}

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Author

Kevin Patrick Murphy

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