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

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Gareth James

Springer

2013-8-12

426

USD 79.99

Hardcover

Springer Texts in Statistics

9781461471370

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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发表于2025-02-02

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

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

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 下載 mobi epub pdf txt 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.

圖書目錄

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

想要找書就要到小哈圖書下載中心

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立刻按 ctrl+D收藏本頁

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用戶評價

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☆☆☆☆☆

Very well written practical overview on statistical pattern recognition. Stay true to the spirit of outlining the essence and not let the mathematical technicalities clutter up discussions. Key themes such as bias-variance trade-off are coherently emphasized throughout. An extremely enjoyable read.

評分☆☆☆☆☆

還有什麼好說呢？豆瓣評分9.5分，多少書有這麼高的評價呢？超級易懂，超級有用，我甚至建議所有大學生都讀一遍，不論專業……當然瞭，這是入門基礎內容，其作用是又快又好的把基本功打紮實，而高深的東西還需要研讀其它好書。

評分☆☆☆☆☆

簡明清晰，對於常用的方法基本都有涉獵。對讀者的知識背景沒太多要求，所以也很難深入。差不多是當成復習+加深印象。本來是想讀elements那本，可是綫性代數忘光瞭，看著矩陣證明真想以頭搶地T-T

評分☆☆☆☆☆

果然是element of statistical learning的R語言簡明版。或者看成ESL的導讀也行。

讀後感

評分☆☆☆☆☆

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

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☆☆☆☆☆

1. expected test MSE use：to assess the accuracy of model predictions. obtain: repeatedly estimate f using a large number of training sets and test each at x0. decompose: into 3 parts -- variance, bias and irreducible error. note: the meaning of variance an...

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