𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Probabilistic Machine Learning : An Introduction

✍ Scribed by Kevin P. Murphy


Publisher
MIT Press
Year
2022
Tongue
English
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Probabilistic Machine Learning: An Intro
✍ Kevin P. Murphy πŸ“‚ Library πŸ“… 2022 πŸ› The MIT Press 🌐 English

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 Intro
✍ Kevin P. Murphy πŸ“‚ Library πŸ“… 2022 πŸ› MIT Press 🌐 English

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 Intro
✍ Kevin P. Murphy πŸ“‚ Library πŸ“… 2022 πŸ› The MIT Press 🌐 English

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 Intro
✍ Kevin P. Murphy πŸ“‚ Library πŸ“… 2021 πŸ› The MIT Press 🌐 English

In 2012, I published a 1200-page book called β€œMachine learning: a probabilistic perspective”, 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