Pattern Recognition and Machine Learning pdf epub mobi txt 電子書 下載 2025

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Pattern Recognition and Machine Learning

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Christopher Bishop



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發表於2025-05-03


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Springer 2007-10-1 Hardcover 9780387310732

Pattern Recognition and Machine Learning epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2025

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Pattern Recognition and Machine Learning epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2025

Pattern Recognition and Machine Learning pdf epub mobi txt 電子書 下載



具體描述

Christopher M. Bishop is Deputy Director of Microsoft Research Cambridge, and holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society of Edinburgh. His previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.

This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.

Pattern Recognition and Machine Learning 下載 mobi epub pdf txt 電子書

Pattern Recognition and Machine Learning pdf epub mobi txt 電子書 下載
想要找書就要到 靜流書站
立刻按 ctrl+D收藏本頁
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##覺得可能不如ESL,但是這書貴在太多人一起看瞭各種筆記豐富,給馬春鵬這位小弟弟跪瞭!

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##我是一名研一的學生,方嚮不是機器學習方嚮,但是對這方麵很感興趣。 看過一篇blog說,當下所說的機器學習其實分兩種,一種如本書,可稱為統計機器學習,另外一種是人工智能領域,這兩種有交叉,但是研究內容有很大不同。 初讀這書,剛覺很羅嗦,加上是英語,就覺得有些內容很...  

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##快看完瞭,近期不準備再讀瞭。就是純粹從bayesian角度開講機器學習,確實是很有深度的一本書。不過The Element of Statistical Learning齣第二版瞭,我覺得最好還是那本吧

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