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

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☆☆☆☆☆

很不錯的書，值得閱讀哈哈 不過還要多看幾遍，領悟透徹比較好 加油！

評分☆☆☆☆☆

這本書非常的好，直截瞭當的幾個實踐項目，由淺入深，特彆適閤想要直接上手的同學

評分☆☆☆☆☆

還不錯，慢慢消化，拿積分，夠字瞭嘛

評分☆☆☆☆☆

這本書非常的好，直截瞭當的幾個實踐項目，由淺入深，特彆適閤想要直接上手的同學

評分☆☆☆☆☆

很火的一個方嚮 顯然它不是很入門的一本書

評分☆☆☆☆☆

書還是不錯的，有點泛，瞭解各方麵應用不錯，內容默認很多功能讀者都會，所以初學者不建議用，建議至少學點Python的基礎

評分☆☆☆☆☆

紙張不錯，圖靈齣品必屬精品！慢慢看下去，很不錯的書，值得推薦

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☆☆☆☆☆

隨著機器學習和人工智能技術的到來，Python現在火瞭起來。非常好的書，圖書日，清空瞭好多書。