Statistical foundations of machine learning

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《机器学习的统计基础》在线版，https://www.otexts.org/book/sfml

该手册希望在理论与实践之间找到平衡点，各主要内容都伴有实际例子及数据，书中的例子程序都是用R语言编写的。We are in the era of big data. The procedure for finding useful patterns in data is known by different names in different communities but more and more, it is grouped under the label of machine learning. This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. This manuscript aims to find a good balance between theory and practice by situating most of the theoretical notions in a real context with the help of practical examples and real datasets. All the examples are implemented in the statistical programming language R.

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关键词：Foundations Statistical statistica foundation statistic learning machine

书呢？没有看见啊
哪个把书上传分享分享

huanghuiqun 发表于 2015-2-2 09:59
书呢？没有看见啊
哪个把书上传分享分享

online

A printed copy of this book is not yet available.

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Table of contents





Statistical foundations of machine learning


Introduction


Foundations of probability


Classical parametric estimation


Nonparametric estimation and testing


Statistical supervised learning


The machine learning procedure


Linear approaches


Nonlinear approaches


Model averaging approaches


Feature selection


Conclusions


Bibliography


Appendix




Recently updated pages




The PRESS statistic  - 29 Oct 2015  

Permutation test  - 23 Feb 2014  

Randomization tests  - 23 Feb 2014  

The bootstrap principle  - 23 Feb 2014  

Bootstrap estimate of bias  - 23 Feb 2014  

Bootstrap sampling  - 23 Feb 2014  

Bootstrap  - 23 Feb 2014  

Estimation of arbitrary statistics  - 23 Feb 2014  

Nonparametric methods  - 23 Feb 2014  

Receiver Operating Characteristic curve  - 23 Feb 2014  




Statistics : Total views




Statistical foundations of machine learning  - 11,532   Bias of the estimator σ^2  - 2,796   
The sum of i.i.d. random variables  - 4,519   Plug-in principle to define an estimator  - 2,753   
Introduction  - 4,412    Bivariate normal distribution  - 2,742   
Modelling from data  - 4,186   Recursive least-squares  - 2,431   
USPS dataset  - 4,092    Stacked regression  - 2,359   
Bias/variance decomposition of MSE  - 3,288   The random model of uncertainty  - 2,264   
Axiomatic definition of probability  - 3,285   The PRESS statistic  - 2,253   
Bias and variance of μ^  - 3,166   Classification and Regression Trees  - 2,250   
Foundations of probability  - 3,055   Bias and variance  - 2,250   
Stastistical machine learning  - 2,802   Normal distribution: the scalar case  - 2,202  

不确定楼主说的是否对应下面链接的资料：
https://bbs.pinggu.org/thread-6668404-1-1.html
这是热心坛友分享的

atwoodcloyd 发表于 2019-5-17 15:23
不确定楼主说的是否对应下面链接的资料：
https://bbs.pinggu.org/thread-6668404-1-1.html
这是热心坛友 ...

不是这个，最新出的