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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
11
Ensemble Methods
Start:
Monday, April 5
End:
Friday, April 9
11.1
Summary
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11.2
Learning Objectives
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11.3
Reading
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11.4
Video
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11.5
Assignments
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11.6
Office Hours
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11.7
Additional Information
Coming soon!
10
Exam II
12
Analysis I
On this page
11
Ensemble Methods
11.1
Summary
11.2
Learning Objectives
11.3
Reading
11.4
Video
11.5
Assignments
11.6
Office Hours
11.7
Additional Information