Difference between revisions of "10-601B Model Selection"
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Revision as of 21:35, 26 February 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
Readings
- Mitchell Chapter 7
What you should remember
- The notion of sample complexity.
- Shattering.
- VC dimension as measure of complexity.
- Sauer’s lemma.
- Form of the VC bounds.
