LOW FLAT RATE $9.90 AUST-WIDE DELIVERY

Close Notification

Your cart does not contain any items

Probabilistic Machine Learning: An Introduction by Kevin P. Murphy at Abbey's Bookshop,
Probabilistic Machine Learning: An Introduction
— —
Kevin P. Murphy

Probabilistic Machine Learning

An Introduction

Kevin P. Murphy

$300

Hardback

Not in-store but you can order this
How long will it take?
English
MIT Press
22 February 2022
Artificial intelligence
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.

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 modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.

Probabilistic Machine Learning grew out of the author's 2012 book, Machine Learning- A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
By:  
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 203mm, 
Weight:   567g
ISBN:   9780262046824
ISBN 10:   0262046822
Pages:   944
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active

Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on AI, machine learning, computer vision, and natural language understanding.

See Inside

See Also

Probabilistic Machine Learning: An Introduction

Genesis

Artificial Intelligence, Hope, and...

Eric Schmidt, III

Hardback

$55 

In Stock 😊

ADD +
Probabilistic Machine Learning: An Introduction

Artificial Intelligence

An Illustrated History: From Medieval...

Clifford A. Pickover

Paperback

$34.99 

Not in-store but you can order this

ADD +
Probabilistic Machine Learning: An Introduction

The Age of AI

""THE BOOK WE ALL NEED""

Henry A Kissinger

Paperback

$24.99 

In Stock 😊

ADD +
Probabilistic Machine Learning: An Introduction

Human Rights, Robot Wrongs

Being Human in the Age of AI

Susie Alegre

Paperback

$27.99 

In Stock 😊

ADD +
Probabilistic Machine Learning: An Introduction

The MANIAC

Benjamín Labatut

Paperback

$32.99 

Not in-store but you can order this

ADD +
Probabilistic Machine Learning: An Introduction

The Book of Why

The New Science of Cause and Effect...

Judea Pearl

Paperback

$24.99 

In Stock 😊

ADD +