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

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☆☆☆☆☆

Peter Flach 著

圖書標籤:

• 機器學習
• 數據挖掘
• 算法
• 人工智能
• 數據科學
• 統計學習
• 模式識彆
• Python
• R語言
• 模型構建

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

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

評分☆☆☆☆☆

好好好好好好好好好好好好

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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！！！

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好好好好好好好好好好好好

評分☆☆☆☆☆

第二次購買，使用起來很方便可靠，內容給力

評分☆☆☆☆☆

還沒拆開呢，看起來很不錯。

評分☆☆☆☆☆

，正好趕上活動，跟朋友一起團購瞭三應該是等過再追評

評分☆☆☆☆☆

東西不錯

評分☆☆☆☆☆

非常不錯的書， 適閤與時俱進， 擁抱新東西，活到老學到老的人。