Probabilistic Machine Learning : An Introduction

Kevin P. Murphy

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Language: English

Published by MIT Press Ltd Mär 2022, 2022

0262046822 / 9780262046824

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Neuware - 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 not Elektronisches Buch, 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.…

Seller Inventory # 9780262046824

Title
Probabilistic Machine Learning : An Introduction
Author
Kevin P. Murphy
Publisher
MIT Press Ltd Mär 2022
Publication year
2022
Condition
Neu
Binding
Buch
Language
English
ISBN 10
0262046822
ISBN 13
9780262046824
Item weight
1,558 grams
Dimensions
233x208x37 mm

AHA-BUCH GmbH

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