Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.
Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.
Daniela Witten is an associate professor of statistics and biostatistics at the University of Washington. Her research focuses largely on statistical machine learning in the high-dimensional setting, with an emphasis on unsupervised learning.
Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. 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.
It turns out that R2 will always increase when more variables are added to the model, even if those variables are only weakly associated with the response. (查看原文)
其实我最大的感触是书中总是说某某内容 “ is beyond the scope of this book” ，真是难为几位作者了。 --------------------------- 高清无码图见相册： https://www.douban.com/photos/photo/2462258822/
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如果图上画的是一头大象，有人说成那是针； 如果此人频繁犯类似的错误，那么我们有理由怀疑他是个瞎子。 =============== 第6章，线性模型选择与正则化 P150，图6-5下面一段，第二行 王星：与右图相比，左图拟合效果更佳光滑，因此偏差下降，方差上升。 原文： Now as we move...
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1. expected test MSE use：to assess the accuracy of model predictions. obtain: repeatedly estimate f using a large number of training sets and test each at x0. decompose: into 3 parts -- variance, bias and irreducible error. note: the meaning of variance an...
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机械工业出版社2015版
大黄蜂95号
机械工业出版社2015版
Nnnnoémie
机械工业出版社2015版
还没人写过短评呢
还没人写过短评呢