The Elements of Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


The Elements of Statistical Learning

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Trevor Hastie 作者
Springer
譯者
2009-10-1 出版日期
745 頁數
GBP 62.99 價格
Hardcover
Springer Series in Statistics 叢書系列
9780387848570 圖書編碼

The Elements of Statistical Learning 在線電子書 圖書標籤: 機器學習  統計學習  Statistics  統計  數據挖掘  統計學  數學  Data-Mining   


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發表於2024-11-22

The Elements of Statistical Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

The Elements of Statistical Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

The Elements of Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



The Elements of Statistical Learning 在線電子書 用戶評價

評分

太統計瞭,過於insightful所以通篇概述少有細節。

評分

well, 凡事以Elements開頭的書都不太好啃,還是從Introduction開頭的書開始吧

評分

補標。超經典。這就是真正的武功秘籍。

評分

well, 凡事以Elements開頭的書都不太好啃,還是從Introduction開頭的書開始吧

評分

好感動啊。

The Elements of Statistical Learning 在線電子書 著者簡介

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.


The Elements of Statistical Learning 在線電子書 著者簡介


The Elements of Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Elements of Statistical Learning 在線電子書 圖書描述

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and false discovery rates.

The Elements of Statistical Learning 在線電子書 下載 mobi epub pdf txt 在線電子書下載


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The Elements of Statistical Learning 在線電子書 讀後感

評分

我导师(stanford博士毕业)非常欣赏这本书,并把它作为我博士资格考试的参考教材之一。 感谢 ZHENHUI LI 提供的信息。本书作者已经将第二版的电子书放到网上,大家可以免费下载。 http://www-stat.stanford.edu/~tibs/ElemStatLearn/ 网上还有一份solution manual, 但是似乎...  

評分

统计学习的经典教材,数学难度适中,英文难度较低,看了其中有监督学习部分,无监督学习部分没怎么看,算法比较经典,但是也比较老。  

評分

评论最下面的部分Version 1是我开始读这本书的时候写的东西,现在加上点基础部分。 对linear algebra, probability 要有非常强的直观认识,对这两个基础学的非常通透。Linear algebra 有几种常用的分解QR, eigendecomposition, SVD,搞清楚它们的作用和几何意义。Bayesian meth...  

評分

非常难,一点都不element,是本百科全书式的读物,如果是初学者,不建议读 很多章节也没有细节,概述性的东西,能看懂几章就很不错了 其实每章都可以写成一本书,都可以做很多篇的论文 全部读懂非常非常难,倒是作为用到哪个部分作为参考资料查查很不错  

評分

有人给我推荐这本书的时候说,有了这本书,就不再需要其他的机器学习教材了。 入手这本书的接下来两个月,我与教材中艰深的统计推断、矩阵、数值算法、凸优化等数学知识展开艰苦的斗争。于是我明白了何谓”不需要其他的机器学习教材“:准确地说,是其他的教材都不需要了;一本...  

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