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The Elements of Statistical Learning (ESL)的中文翻译

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Name	Name	Last commit date
Latest commit History 113 Commits
01 Introduction/2016-07-26-Chapter-1-Introduction	01 Introduction/2016-07-26-Chapter-1-Introduction
02 Overview of Supervised Learning	02 Overview of Supervised Learning
03 Linear Methods for Regression	03 Linear Methods for Regression
04 Linear Methods for Classification	04 Linear Methods for Classification
05 Basis Expansions and Regularization	05 Basis Expansions and Regularization
06 Kernel Smoothing Methods	06 Kernel Smoothing Methods
07 Model Assessment and Selection	07 Model Assessment and Selection
08 Model Inference and Averaging	08 Model Inference and Averaging
09 Additive Models, Trees, and Related Methods	09 Additive Models, Trees, and Related Methods
10 Boosting and Additive Trees	10 Boosting and Additive Trees
11 Neural Networks	11 Neural Networks
12 Support Vector Machines and Flexible Discriminants	12 Support Vector Machines and Flexible Discriminants
13 Prototype Methods and Nearest-Neighbors/13.1 Introduction	13 Prototype Methods and Nearest-Neighbors/13.1 Introduction
14 Unsupervised Learning	14 Unsupervised Learning
15 Random Forests	15 Random Forests
16 Ensemble Learning	16 Ensemble Learning
17 Undirected Graphical Models	17 Undirected Graphical Models
18 High-Dimensional Problems	18 High-Dimensional Problems
ERROR	ERROR
Preface	Preface
css	css
fonts	fonts
img	img
js	js
mkdocs	mkdocs
.nojekyll	.nojekyll
SVD.pdf	SVD.pdf
The Elements of Statistical Learning(8.1).pdf	The Elements of Statistical Learning(8.1).pdf
The Elements of Statistical Learning.pdf	The Elements of Statistical Learning.pdf
index.html	index.html
note.md~	note.md~	< 6109 div class="Skeleton Skeleton--text">
problem.md~	problem.md~
sitemap.xml	sitemap.xml