An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


An Introduction to Statistical Learning

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Gareth James 作者
Springer
譯者
2013-8-12 出版日期
426 頁數
USD 79.99 價格
Hardcover
Springer Texts in Statistics 叢書系列
9781461471370 圖書編碼

An Introduction to Statistical Learning 在線電子書 圖書標籤: 機器學習  統計學習  R  統計  數據分析  Statistics  統計學  machine_learning   


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發表於2024-11-22

An Introduction to Statistical Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Statistical Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



An Introduction to Statistical Learning 在線電子書 用戶評價

評分

公開課的教材,沒涉及太多的數學,不錯。https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/courseware/dfece96897994039a17547b575573447/

評分

是寫的很好,常用的基礎算法裏麵缺瞭神經網絡,不過光看這本也是遠遠不夠的。。。

評分

都是算法的介紹和事實結論的堆砌 整本書都沒有超過兩行的技術推導導緻很多結論看起來真的有點莫名其妙 能夠建立/溫習基本的框架 ESL的導讀版;看的快點兩三個星期應該就能擠時間看完瞭!!

評分

拯救看不懂ESL的學渣們所寫的一本書,作者著實佛心

評分

ISLR在機器學習界大名鼎鼎,個人認為是最適閤初級學習者的著作。雖說是ESLR的簡化版,但是精華該有的都有,全書脈絡清晰無比,從Bias-Variance Tradeoff和No Free Lunch兩條基本思想展開,作者的深厚統計學背景使得LogReg、PCA和LDA這些概念主題都能有一個清楚的闡釋。以理論為主,但是也有lab,方便讀者動手一窺究竟。這本書甚至激起瞭我的一點學習數學的心情,接下來打算用Strang的那本綫代和Casella的統計推斷好好鞏固基礎,屆時再迴味想必又能有新的體會。Logistic和SVM等部分讀起來一氣嗬成,真可謂“清水齣芙蓉”,而對模型的討論始終堅持問題導嚮,有一些哲學思維。唯一的遺憾就是預期讀者的數學水平掣肘瞭內容的發揮。

An Introduction to Statistical Learning 在線電子書 著者簡介

Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.

Daniela Witten is an associate professor of statistics and biostatistics at the University of Washington. Her research focuses largely on statistical machine learning in the high-dimensional setting, with an emphasis on unsupervised learning.

Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. 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.


An Introduction to Statistical Learning 在線電子書 著者簡介


An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Statistical Learning 在線電子書 圖書描述

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

An Introduction to Statistical Learning 在線電子書 下載 mobi epub pdf txt 在線電子書下載


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An Introduction to Statistical Learning 在線電子書 讀後感

評分

这本书读起来不费劲,弱化了数学推导过程,注重思维的直观理解和启发。读起来很畅快,个人感觉第三章线性回归写的很好,即使是很简单的线性模型,作者提出的几个问题和细细的解释这些问题对人很有启发性,逻辑梳理得很好,也易懂。(不过有点可惜的是翻译版本确实不是太好,有些...  

評分

其实我最大的感触是书中总是说某某内容 “ is beyond the scope of this book” ,真是难为几位作者了。 --------------------------- 高清无码图见相册: https://www.douban.com/photos/photo/2462258822/  

評分

其实我最大的感触是书中总是说某某内容 “ is beyond the scope of this book” ,真是难为几位作者了。 --------------------------- 高清无码图见相册: https://www.douban.com/photos/photo/2462258822/  

評分

http://www-bcf.usc.edu/~gareth/ISL/ ==========================================================================================================================================================  

評分

1,统计学习的入门书,通俗易懂,号称是ESL的入门版,全书没有太多数学推导,适合学工程的人不适合学统计的人读。2,监督学习占了大部分篇幅,我觉得这本书最好的部分就是模型的讨论都围绕variance和bias的trade-off展开,还有就是对模型的整体性能,以及参数的经验取值都给出...  

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