Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝]

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] pdf epub mobi txt 電子書 下載 2025

Peter Flach 著
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齣版社: Cambridge University Press
ISBN:9781107422223
商品編碼:19456591
包裝:平裝
齣版時間:2013-11-14
頁數:409
正文語種:英文
商品尺寸:24.4x18.8x0.5cm

具體描述

內容簡介

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

作者簡介

Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the 2012 European Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.

精彩書評

"This textbook is clearly written and well organized. Starting from the basics, the author skillfully guides the reader through his learning process by providing useful facts and insight into the behavior of several machine learning techniques, as well as the high-level pseudocode of many key algorithms."
——Fernando Berzal, Computing Reviews

前言/序言


用戶評價

評分

商品包裝有待進一步加強。

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完美的書籍,非常有好用

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我為什麼喜歡在京東買東西,因為今天買明天就可以送到。我為什麼每個商品的評價都一樣,因為在京東買的東西太多太多瞭,導緻積纍瞭很多未評價的訂單,所以我統一用段話作為評價內容,省時省力,還能得京東豆。總而言之、言而總之,在京東買東西又好又快!

評分

機器學習指南,這本書我不知道怎麼瞭買瞭兩本,也沒時間看。

評分

這個類型的書還是很多,買瞭幾本,內容上有互補,很好。

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不錯,是該好好學習瞭

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內容很詳細,後續慢慢學習

評分

很好的數,嶽大威武,很適閤比賽使用,哈哈哈哈哈哈哈

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很不錯的一本書,希望看完之後就會Python瞭吧

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