10-601 PAC
From Cohen Courses
Slides
- Ziv's lecture: Slides in pdf.
- William's lecture: Slides in pdf, Slides in Powerpoint,
Readings
- Mitchell Chapter 7
What you should remember
- Definition of pac-learnability.
- Definition of sample complexity vs time complexity
- How sample complexity grows with 1/epsilon, 1/delta, and |H|
- in the noise-free case.
- in the "agnostic" setting, where noise is present and the learner outputs the smallest-error-rate hypothesis.
- The definition of VC-dimension and shattering
- How VC dimension relates to sample complexity