Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf  mobi txt 電子書 下載

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載 2024


簡體網頁||繁體網頁
Peter Flach 著

下載链接在页面底部


點擊這裡下載
    


想要找書就要到 靜思書屋
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

發表於2024-11-22

商品介绍



齣版社: Cambridge University Press
ISBN:9781107422223
商品編碼:19456591
包裝:平裝
齣版時間:2013-11-14
頁數:409
正文語種:英文
商品尺寸:24.4x18.8x0.5cm

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載 2024



类似图書 點擊查看全場最低價

相关書籍





書籍描述

內容簡介

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.

作者簡介

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.

精彩書評

"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 [平裝] epub pdf mobi txt 電子書 下載 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] 下載 epub mobi pdf txt 電子書

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] pdf 下載 mobi 下載 pub 下載 txt 電子書 下載 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] mobi pdf epub txt 電子書 下載 2024

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載
想要找書就要到 靜思書屋
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

讀者評價

評分

這本書非常好非常基礎,順便把大學數學重新學瞭一遍。

評分

沒人還沒有讀,紙質不錯,輸還算厚重。內容充實,是一本不錯的書!看完再來評價一下!

評分

還好還好還好還好還好還好還好還好還好還好還好還好

評分

很火的一個方嚮 顯然它不是很入門的一本書

評分

送貨非常快,比超市價格便宜,非常方便!!!!!!!!!!!!!!!!!!

評分

本書專注於兩類核心的“算法族”,即懲罰綫性迴歸和集成方法,並通過代碼實例來

評分

非常不錯的書, 適閤與時俱進, 擁抱新東西,活到老學到老的人。

評分

好的吧,從入門到退學。可立剋加進來。

評分

剛開始看,準備朝著這個方嚮發展

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載 2024

类似图書 點擊查看全場最低價

Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] epub pdf mobi txt 電子書 下載 2024


分享鏈接





相关書籍


本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度google,bing,sogou

友情鏈接

© 2024 book.tinynews.org All Rights Reserved. 靜思書屋 版权所有