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概率机器学习,Probabilistic Machine Learning
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最新版的概率机器学习。本套书难得写的深入浅出,抛掉一些过于深(偏)的内容外,直接当作零基础入门书也没有什么问题。 而ML又难得是一个对很多方面都有作用的领域,再加上书写的极好,很多主要概念及阐述又很完善,所以相对于之前已有的很多ML书来说,本书更值得推荐给一般读者
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Probabilistic Machine Learning
Probabilistic Machine Learning
Advanced Topics
Kevin P. Murphy
The MIT Press
Cambridge, Massachusetts
London, England
© 2023 Kevin P. Murphy
This work is subject to a Creative Commons CC-BY-NC-ND license.
Subject to such license, all rights are reserved.
The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this
book. The generous work of academic experts is essential for establishing the authority and quality of our
publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers.
Printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Names: Murphy, Kevin P., author.
Title: Probabilistic machine learning : advanced topics / Kevin P. Murphy.
Description: Cambridge, Massachusetts : The MIT Press, [2023] | Series:
Adaptive computation and machine learning series | Includes
bibliographical references and index.
Identifiers: LCCN 2022045222 (print) | LCCN 2022045223 (ebook) | ISBN
9780262048439 (hardcover) | ISBN 9780262376006 (epub) | ISBN
9780262375993 (pdf)
Subjects: LCSH: Machine learning. | Probabilities.
Classification: LCC Q325.5 .M873 2023 (print) | LCC Q325.5 (ebook) | DDC
006.3/1015192–dc23/eng20230111
LC record available at https://lccn.loc.gov/2022045222
LC ebook record available at https://lccn.loc.gov/2022045223
10 9 8 7 6 5 4 3 2 1
This book is dedicated to my wife Margaret,
who has been the love of my life for 20+ years.
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