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

簡體網頁||繁體網頁

☆☆☆☆☆

Peter Flach 著

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☆☆☆☆☆

舉幾個例子，我們會介紹怎麼把StackOverflow的迴答按質量高低進行分類，怎麼知道某個音樂文件是爵士風格，還是重金屬搖滾風格。另外，本書還涵蓋瞭主題建模、購物習性分析及雲計算等高級內容。總之，通過學習本書，讀者可以掌握構建自己所需係統的各方麵知識，並且學以緻用，解決自己麵臨的現實問題。

評分☆☆☆☆☆

正準備學習的機器學習算法與預測算法。正品書

評分☆☆☆☆☆

一次買瞭很多書，就是看京東送貨快捷方便，以後會經常光顧的。

評分☆☆☆☆☆

包裝不錯，還沒看呢，應該會有所啓發吧吧∠( ? 」∠)＿，哈哈啊哈哈快遞好評

評分☆☆☆☆☆

現在流行這個，也學習學習，跟上時代

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。

評分☆☆☆☆☆

舉幾個例子，我們會介紹怎麼把StackOverflow的迴答按質量高低進行分類，怎麼知道某個音樂文件是爵士風格，還是重金屬搖滾風格。另外，本書還涵蓋瞭主題建模、購物習性分析及雲計算等高級內容。總之，通過學習本書，讀者可以掌握構建自己所需係統的各方麵知識，並且學以緻用，解決自己麵臨的現實問題。

評分☆☆☆☆☆

內容很詳細，後續慢慢學習

評分☆☆☆☆☆

書本非常厚實，內容豐富，非常滿意，京東自營正版值得信賴