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 co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surf...
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 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. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
LAR uses least squares directions in the active set of variables.
Lasso uses least square directions; if a variable crosses zero, it is removed from the active set.
Boosting uses non-negative least squares directions in the active set. (查看原文)
Elements of statistic learning is one of the most important textbooks on algorithm analysis in the field of machine learning. The authors of this book, Trevor Hastie, Robert Tibshirani and Jerome Friedman, are pioneers in the area and have done really b...
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0 有用 madongfly 2009-01-23 15:33:33
比较难,不适合入门
1 有用 大刀 2011-11-03 12:05:49
本书很牛逼,但是这本翻译很不靠谱
0 有用 panjf 2010-01-05 21:57:10
这本书实在是不好读,不过还算是可以学到点东西的
0 有用 秦妙斋8823 2021-03-16 23:10:53
粗略翻了一遍,还行,有的地方比统计学习方法深入,但是没有很深入,稍稍介绍了一下。
3 有用 豆友1907570 2013-10-10 16:13:34
作者是斯坦福大学三个统计学教授,他们经常参加各种神经网络、数据挖掘、机器学习会议……翻译不好
0 有用 M·贺六浑 2021-07-13 16:01:40
太美式了,乱哄哄的,没章法
0 有用 秦妙斋8823 2021-03-16 23:10:53
粗略翻了一遍,还行,有的地方比统计学习方法深入,但是没有很深入,稍稍介绍了一下。
0 有用 Vince_L 2019-12-10 15:37:08
简单翻过,实在太难了,拙劣的翻译让它看起来更难了。 “子采样”译成“罚回归”,也是没谁了。 还是有个网友说的好,书译了烧不掉,还是少荼毒点好书,免得被骂万年。
1 有用 liuby26 2018-05-15 21:23:30
范明啊,饭p桶还差不多,翻译的书都特别烂!语义不通还去各种错漏,还不如Google讲真。同样是翻译,人家一个研究生马同学翻译的prml都好了不知道多少。捞金别拿这种神书捞金好吧,荼毒别的书都算了,这家伙人品有问题!我记得还有一本数据挖掘的书也是这家伙翻译的,估计他是没学过中文。
0 有用 圣杯何在? 2018-04-10 20:59:29
书非常的经典。能够通过数据的分布去解释算法的一些特性。但是翻译的实在很一般。很多看的云里雾里的。