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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

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

评分☆☆☆☆☆

一次买了多本，Python机器学习书籍，学习一下。

评分☆☆☆☆☆

京东物流高效 快递包装完整 购物体验非常好

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

评分☆☆☆☆☆

不错不错，用着挺好，要喜欢的。。。

评分☆☆☆☆☆

书不错，还么就开始看

评分☆☆☆☆☆

经常买。。。。。。。

评分☆☆☆☆☆

老公的生日礼物，我一个IT盲对比了N多的目录选择了这两本。书纸很好，内容完全不懂，希望对老公有帮助。

评分☆☆☆☆☆

书本非常厚实，内容丰富，非常满意，京东自营正版值得信赖

评分☆☆☆☆☆

质量一如既往的的好，快递速度一如既往的給力。

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