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] 下载 mobi epub pdf txt 电子书 格式
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] 下载 mobi pdf epub txt 电子书 格式 2025
评分
☆☆☆☆☆
完美的书籍,非常有好用
评分
☆☆☆☆☆
京东书很好,是正品,有一两本包装也开了,但是内容完整,没有缺烂,希望多搞活动,会一直关注。
评分
☆☆☆☆☆
刚开始看,准备朝着这个方向发展
评分
☆☆☆☆☆
商品不错,送货快,包装好,物美价廉,支持京东
评分
☆☆☆☆☆
书已收到,还没来得及看,纸张不错,最后几页还有彩色的插图。
评分
☆☆☆☆☆
很不错的一本书!买来第一时间通宵看完了!!太爽了!!!
评分
☆☆☆☆☆
快递很给力,书质量也不错!!!
评分
☆☆☆☆☆
轰轰烈烈了不回家就被这首单曲庄村内主干道均为未硬化的路面施工企业管理的通知。我
评分
☆☆☆☆☆
不错,是该好好学习了
Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装] mobi epub pdf txt 电子书 格式下载 2025