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2025-06-01

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

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好書！另此書又名“給學渣的機器學習書”。。。。

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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。。。

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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!!

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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/

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拯救看不懂ESL的學渣們所寫的一本書，作者著實佛心

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

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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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Notes of Introduction to Statistical Learning ===================================== ## Statistical Learning - basic concepts - two main reasons to estimate f: prediction and inference - trade-off: complex models may be good for accurate prediction, but it m...

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