Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] epub pdf mobi txt 电子书 下载 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] epub pdf mobi txt 电子书 下载 2024

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] epub pdf mobi txt 电子书 下载 2024

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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] epub pdf mobi txt 电子书 下载 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] 下载 epub mobi pdf txt 电子书 2024

评分☆☆☆☆☆

现在流行这个，也学习学习，跟上时代

评分☆☆☆☆☆

很火的一个方向 显然它不是很入门的一本书

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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。

评分☆☆☆☆☆

举几个例子，我们会介绍怎么把StackOverflow的回答按质量高低进行分类，怎么知道某个音乐文件是爵士风格，还是重金属摇滚风格。另外，本书还涵盖了主题建模、购物习性分析及云计算等高级内容。总之，通过学习本书，读者可以掌握构建自己所需系统的各方面知识，并且学以致用，解决自己面临的现实问题。

评分☆☆☆☆☆

python 很火呀

评分☆☆☆☆☆

这本书一般，虽然都是案例，但是写得太过简略，并且案例选择实用性不大，仅仅是让初学者对机器学习怎么写代码有个了解。

评分☆☆☆☆☆

好好好好好好好好好好好好

评分☆☆☆☆☆

书不错，还么就开始看

评分☆☆☆☆☆

很好的一本书，物流相当快，不过没来得及看，618一百多买了四百左右的书，2333

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