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

简体网页||繁体网页

☆☆☆☆☆

Peter Flach 著

承接 住宅 自建房 室内改造 装修设计 免费咨询 QQ：624617358 一级注册建筑师 亲自为您回答、经验丰富，价格亲民。无论项目大小，都全力服务。期待合作，欢迎咨询！QQ：624617358

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

评分☆☆☆☆☆

希望里面有足够的算法分析和参考，可以拿来实现分析！

评分☆☆☆☆☆

书很好，内容丰富，值得学习，需要好好看书了哈哈哈哈?

评分☆☆☆☆☆

这本书非常的好，直截了当的几个实践项目，由浅入深，特别适合想要直接上手的同学

评分☆☆☆☆☆

快递很给力，书质量也不错！！！

评分☆☆☆☆☆

不要堕落，保证物质品质，质量，坚持为人民服务才是王道。

评分☆☆☆☆☆

内容且不说，就看印刷。你值得买吗？反正拿到后满满的失望。使用的代码示例根本看不清楚。这是用苹果手机拍的，它已经进行了锐化处理，看起来比原来还要清楚多了。

评分☆☆☆☆☆

这本书非常的好，直截了当的几个实践项目，由浅入深，特别适合想要直接上手的同学

评分☆☆☆☆☆

书很好，果冻买的，便宜，讲解很细，没看完。快递包装很结实，没任何问题。京东物流飞快，服务超好。

评分☆☆☆☆☆

书包装很好，没什么磨损，满意