The Elements of Statistical Learning Data Mining, Inference, and Prediction

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Springer ebook

Djvu 格式

The Elements of Statistical Learning

Data Mining, Inference, and Prediction
Series: Springer Series in Statistics
Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

1st ed. 2001. Corr. 3rd printing, 2003, 552 p., Hardcover

ISBN: 978-0-387-95284-0

About this book

During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book descibes theimprtant ideas in these areas ina 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 should be a vluable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learing (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting--the first comprehensive treatment of this topic in any book. 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 book of that title. Hastie wrote much of the statistical modeling software in 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. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

Written for:

Researchers and graduate students

Keywords:

Data Mining

Inference

Neural Nets

Prediction

Statistical Learning

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The Elements of Statistical Learning Data Mining, Inference, and Prediction
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关键词：Statistical Data Mining Prediction statistica Inference Mining Inference Prediction Elements Learning

呵呵，你的书挺多，也都不错。可惜没那么多钱

Is it because of some inflation in this BBS??!!

Everything is so expensive!!

good book, can not download

此书不错，我有纸本

是否含有最新的更正了？文件多大？我自己根据网上的Djvu版制作了一个新的版本，内容涵盖了3rd次印刷中的错误更正。

i made a pdf version, 30 mb...

这本书好像有djvu格式的，也有pdf格式的，pdf的有的170M大小，真夸张，不过看清晰程度，感觉也还一般。
比4M左右的djvu格式没有啥优势。

Thanks you,it's a good book.

好贵啊~其实我有纸版、pdf版和djvu版~