The Elements of Statistical Learning

作者: T. Hastie / R. Tibshirani / J. H. Friedman
ISBN: 9780387952840
页数: 520
定价: USD 89.95
出版社: Springer
装帧: Hardcover
出版年: 2003-07-30

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简介   · · · · · · 

　　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... (展开全部) 　　

豆瓣成员常用的标签(共29个)   · · · · · · 

机器学习(22)  统计学习(18)  Learning(13)  数据挖掘(8)  统计学(8)  statistical(7)  Statistics(6)  Data-Mining(4)  

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Mistakes Were Made (But Not by Me)
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Simple Heuristics That Make Us Smart
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Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
Nonsense
CRIMES AGAINST LOGIC
Pattern Recognition And Machine Learning
不确定状况下的判断：启发式和偏差

书评  · · · · · · 
热门评论 最新评论

  • Classic!

  • ROY
  • ROY  

    　　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......

    2008-11-21    

  • 绝对不基础！

  • 飞扬
  • 飞扬  

    个人认为很高等的内容了，绝不不是the elements,需要有坚实的统计，数据挖掘基础，而且内容很多，很多算法都有理论公式的详细介绍。 反正我看着很累的说。。。。。。 ......

    2009-07-15    

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