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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) ハードカバー – 2013/8/12
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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.
- 本の長さ426ページ
- 言語英語
- 出版社Springer
- 発売日2013/8/12
- 寸法15.88 x 2.16 x 23.5 cm
- ISBN-101461471370
- ISBN-13978-1461471370
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著者について
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.
登録情報
- 出版社 : Springer; 第1版 (2013/8/12)
- 発売日 : 2013/8/12
- 言語 : 英語
- ハードカバー : 426ページ
- ISBN-10 : 1461471370
- ISBN-13 : 978-1461471370
- 寸法 : 15.88 x 2.16 x 23.5 cm
- Amazon 売れ筋ランキング: - 26,410位洋書 (洋書の売れ筋ランキングを見る)
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I WAS DEFINITELY NOT PREVENTED by amazon from posting a negative review about the seller, mentioned at the end. So I just woke up one day and randomly decide to leave these comments because I have nothing better to do. This was a very convincingly copied/pirated version of the original, exactly as expected, low quality print with loose pages crumpled by cheap glue, off brand colours and misaligned text. Over all it's well done and a perfect spot for it would be on your bookshelf or even outside your house across the street in the rain. I am extremely happy that I got scammed with this purchase. If you like getting treated like this (by Welbies Book Store) then they are 100% recommended for you. Love it (not)! Sarcasm? Yes.


2024年1月26日にインドでレビュー済み
I WAS DEFINITELY NOT PREVENTED by amazon from posting a negative review about the seller, mentioned at the end. So I just woke up one day and randomly decide to leave these comments because I have nothing better to do. This was a very convincingly copied/pirated version of the original, exactly as expected, low quality print with loose pages crumpled by cheap glue, off brand colours and misaligned text. Over all it's well done and a perfect spot for it would be on your bookshelf or even outside your house across the street in the rain. I am extremely happy that I got scammed with this purchase. If you like getting treated like this (by Welbies Book Store) then they are 100% recommended for you. Love it (not)! Sarcasm? Yes.








