The Elements of Statistical Learning (2nd edition)书.pdf,This is page i Printer: Opaque this Contents Preface to the Second Edition i Preface to the First Edition v This is page i Printer: Opaque this The Elements of Statistical Learning Data Mining, Inf
The Elements of Statistical Learning Data Mining, Inference, and Prediction (2nd edition) (12print 2017) by Trevor Hastie, Robert Tibshirani, Jerome Friedman.pdf 下载说明: 在下载页面点击“普通下载”即可,可能会弹出第三方广告页面,请忽略。 详细下载教程请点这里:本站下载教程 ...
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The Elements of Statistical Learning 2025 pdf epub mobi 电子书 著者简介 Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular...
As a source for the methods of statistical learning…it will probably be a long time before there is a competitor to this book." SHORT BOOK REVIEWS "This book describes modern tools for data analysis. With the exception of the last chapter, it is concerned with "supervised" methods - ...
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Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural ...
The Elements of Statistical Learning Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning. Data Mining, inference, and prediction, 2nd edn. Springer, New York ... H Trevor,T Robert,F Jerome - 《Mathematical Intelligencer》 被引量: 526发表: 2005年 ...
itsroleandourprofession’slackofinterestinit.”AlthoughImostlyagreewith Efron,Iworrythatthecoursesofferedbymoststatisticsdepartmentsinclude little,ifany,treatmentofstatisticallearningandprediction.(Stanford,where Efronandtheauthorsofthisbookteach,isanexception.)Graduatestudents ...
This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuab