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

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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这本书还是不错的，但有的库感觉已经过时了

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机器学习的知识书，帮助很大

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书很好，内容丰富，值得学习，需要好好看书了哈哈哈哈?

评分☆☆☆☆☆

不错不错，用着挺好，要喜欢的。。。

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值得一读的书。虽然内容不深，但对我初学来说足够

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还好还好还好还好还好还好还好还好还好还好还好还好

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好好学习天天向上的人啊

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经典书籍，不用多说啦，很好满意(?ω?)hiahiahia

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质量很好，物超所值，很方便。太便宜了