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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
Ensemble Methods
12
Analysis I
13
Analysis II
14
Analysis III
15
Unsupervised Learning
16
The End
Resources
Acknowledgments
10
Exam II
Start:
Monday, March 29
End:
Friday, April 2
10.1
Summary
Coming soon!
10.2
Learning Objectives
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10.3
Reading
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10.4
Video
Coming soon!
10.5
Assignments
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10.6
Office Hours
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10.7
Additional Information
Coming soon!
9
Regularization
11
Ensemble Methods
On this page
10
Exam II
10.1
Summary
10.2
Learning Objectives
10.3
Reading
10.4
Video
10.5
Assignments
10.6
Office Hours
10.7
Additional Information