An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

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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2025-03-15

An Introduction to Statistical Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

An Introduction to Statistical Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

An Introduction to Statistical Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

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

評分☆☆☆☆☆

寫的的確非常簡明易懂。讀過以後給瞭我“已經懂瞭ML”的幻覺。還是老老實實讀Elements那本去吧

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寫得這麼好的教材竟然還不要錢！業界良心啊~ 唯一的缺點是有點囉嗦……

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好書！另此書又名“給學渣的機器學習書”。。。。

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感覺自己還是學院派，這是截至目前最喜歡的一本機器學習（統計學習）教材，盡管數學原理介紹得也不算深，但總體仍然是重理論、輕代碼、輕應用。

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相比PRML確實是入門級的，配閤網上的課件和視頻，講得很清楚，主要針對supervised machine learning

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☆☆☆☆☆

业界良心，为学渣精心打造……深入浅出，甚至连矩阵怎么算怕你不会都告诉你，而且尽量避免使用矩阵之类的纯数学的表达，比较适合只学习应用的同学，不用关心太多内在证明。例子给的也很足，非常实际。R的例子讲的也很实用。总之非常适合自学。

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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/

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

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