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STAT 432
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Table of contents
Basics of Statistical Learning
Syllabus
1
Overview
2
Linear Regression
3
Nonparametric Regression
4
Classification Introduction
5
Exam I
6
Binary Classification
7
Generative Models
8
Resampling
9
Regularization
10
Exam II
11
Break
12
Ensemble Methods
13
Analysis I
14
Analysis II
15
Unsupervised Learning
16
The End
Resources
Acknowledgments
Resources
16
The End
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