Difference between revisions of "10-601B Generalization and Overfitting: Sample Complexity Results for Supervised Classification 2"

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Latest revision as of 10:53, 23 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.
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