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

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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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送货非常快，比超市价格便宜，非常方便！！！！！！！！！！！！！！！！！！

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还不错，机器学习还是要动手实践的！

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展示所讨论的算法的使用原则。全书共分为7 章，详细讨论了预测模型的两类核心算法、预测模型的构建、惩罚线性回归和集成方法的具体应用和实现。

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书的包装是有透明袋，书的内容不错，待学习，但是纸张有点粗糙。

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京东送货很快，质量也很好，每次购物都满意！

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好评啦啦啦啦啦，全五分，拿京豆。。。。。

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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

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全新的书，没有破损很不错

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最火的时候好好学习。不能落伍