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

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

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發表於2025-04-27

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

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An Introduction to Statistical Learning pdf epub mobi 讀後感

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

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很適閤入門，幾乎沒有什麼數學，英文讀起來也很簡單，一些詞匯不懂可以對照中文版。中文版叫：統計學習導論：基於 R 應用。適閤剛剛接觸機器學習的同學閱讀。和適閤我這種菜鳥閱讀學習，下載瞭 N 本機器學習的書瞭，這本是唯一能讀的下去的。初學主要是先瞭解概念，對機器學習...

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其實我最大的感觸是書中總是說某某內容 “ is beyond the scope of this book” ，真是難為幾位作者瞭。 --------------------------- 高清無碼圖見相冊： https://www.douban.com/photos/photo/2462258822/

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

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出版者:Springer

作者:Gareth James

出品人:

頁數:426

譯者:

出版時間:2013-8-12

價格:USD 79.99

裝幀:Hardcover

isbn號碼:9781461471370

叢書系列:Springer Texts in Statistics

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

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

想要找書就要到本本書屋

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立刻按 ctrl+D收藏本頁

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An Introduction to Statistical Learning pdf epub mobi 用戶評價

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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。

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statistical learning的入門級教材，不需要很多的數學，但涵蓋瞭許多topic，而且每章結尾都有R的實例，不過這本書還是過於基礎，unsupervised learning隻有一章，而且居然跳過瞭neural networks。

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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。

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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。

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