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
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] 下載 mobi epub pdf txt 電子書 格式
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] 下載 mobi pdf epub txt 電子書 格式 2025
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] 下載 mobi epub pdf 電子書
評分
☆☆☆☆☆
時下很火的內容要趕緊學習瞭
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☆☆☆☆☆
很不錯的一本書!買來第一時間通宵看完瞭!!太爽瞭!!!
評分
☆☆☆☆☆
哈哈哈哈茶海柴柴白茶哈哈哈哈哈哈哈哈哈哈查哈哈哈
評分
☆☆☆☆☆
正好最近在研究,就買瞭,京東物流還是很給力的!大促的時候都能發貨這麼速度,點贊!
評分
☆☆☆☆☆
學習python中,很不錯的書籍
評分
☆☆☆☆☆
質量一如既往的的好,快遞速度一如既往的給力。
評分
☆☆☆☆☆
書實在太好瞭,全部包裝完好,快遞師傅給力,必須好評!
評分
☆☆☆☆☆
對於預測問題講得挺全麵的,值得一讀
評分
☆☆☆☆☆
有人推薦這本書。買來看一下,紙質書有感覺。
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] mobi epub pdf txt 電子書 格式下載 2025