Completed
Intro
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Classroom Contents
PAC Learning
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- 1 Intro
- 2 Supervised Machine Learning
- 3 Problem Parameters
- 4 Adversarial (Worst Case) Choices
- 5 Proper and Improper Learning
- 6 Agnostic Learning
- 7 The Theoretical Question
- 8 Why Probably (Approximately Correct)?
- 9 Learnability Example
- 10 Vapnik-Chervonenkis Dimension
- 11 VC Dimension and Proper Learnability
- 12 Significance and Influence of PAC
- 13 Criticisms of PAC
