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Machine Learning读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 409页 7.8 2020 Cambridge University Press
定价 出版日期 最近访问 访问指数
GBP 39.99 2020-02-20 … 2020-03-14 … 62
主题/类型/题材/标签
机器学习,MachineLearning,数据挖掘,ML,计算机科学,计算机,统计学习,Cambridge,
作者
Peter Flach      ISBN:9781107422223    原作名/别名:《》
内容和作者简介
Machine Learning摘要

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, University of Bristol

本书后续版本
未发行或暂未收录
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