Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平装]

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

Peter Flach 著
想要找书就要到 静思书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!
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

具体描述

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


用户评价

评分

好好娃娃非常喜欢恍恍惚惚恍恍惚惚红红火火恍恍惚惚哈哈哈哈哈哈我的微博已经开了这么多天了?你是谁我知道你们u

评分

很火的一个方向 显然它不是很入门的一本书

评分

Python号称是目前最火的语言课了,所以不学不行了。

评分

机器学习指南,这本书我不知道怎么了买了两本,也没时间看。

评分

花了近两个月的业余时间来看这本书。正像我说的那样,大约只读懂了我能读懂的部分。

评分

现在流行这个,也学习学习,跟上时代

评分

好书,写的很详细,受益匪浅,以后还会买

评分

好好学习天天向上的人啊

评分

纸质还可以,印刷也比较清晰

相关图书

本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

© 2025 book.idnshop.cc All Rights Reserved. 静思书屋 版权所有