文件名称:
Principles and Theory for Data Mining and Machine Learning
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文件大小: 13mb
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上传时间: 2011-11-22
详细说明: The book roughly separates into three parts. Part I consists of Chapters 1 through 4: This is mostly a treatment of nonparametric regression, assuming a mastery of linear regression. Part II consists of Chapters 5, 6, and 7: This is a mix of classification, recent nonparametric methods, and computational comparisons. Part III consists of Chapters 8 through 11. These focus on high dimensional problems, including clustering, dimension reduction, variable selection, and multiple comparisons. We suggest that a selection of topics fr om the first two parts would be a good one semester course and a selection of topics from Part III would be a good follow-up course. ...展开收缩
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