Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] pdf epub mobi txt 电子书 下载 2025

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Peter Flach 著

图书标签:

• 机器学习
• 数据挖掘
• 算法
• 人工智能
• 数据科学
• 统计学习
• 模式识别
• Python
• R语言
• 模型构建

出版社： Cambridge University Press

ISBN：9781107422223

商品编码：19456591

包装：平装

出版时间：2013-11-14

页数：409

正文语种：英文

商品尺寸：24.4x18.8x0.5cm

内容简介

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.

作者简介

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.

精彩书评

"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

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哈哈好好好好好好好好好好好好好好好好好好

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帮人买的，很正版的书籍，同事很喜欢

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这个包装就不错。速度快

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一直想买这本书，刚好搞活动，就买了

评分☆☆☆☆☆

还不错，机器学习还是要动手实践的！

评分☆☆☆☆☆

这个类型的书还是很多，买了几本，内容上有互补，很好。

评分☆☆☆☆☆

商品质量很好，很满意，配送速度快啊，而且配送员态度也非常好。

评分☆☆☆☆☆

送货速度一流，价格也很划算，活动很划算，书不错

评分☆☆☆☆☆

正版书籍，质量不错。单位采购买了不少外文书，都很贵，还没来得及看