A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic
Probabilistic Machine Learning : An Introduction
β Scribed by Kevin P. Murphy
- Publisher
- MIT Press
- Year
- 2022
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic
In 2012, I published a 1200-page book called βMachine learning: a probabilistic perspectiveβ, whichprovided a fairly comprehensive coverage of the field of machine learning (ML) at that time, underthe unifying lens of probabilistic modeling. The book was well received, and won theDe Groot prizein 20