Learning and Other Things

Contents

1. Empirical Risk Minimization: What is observable? To what extent is the observable representative of the whole? How does it affect learning?

2. A Formal Model: The importance of picking representative training sets. PAC learning.

3. The Generative Model: An introduction to some core ideas in inference.

4. GMMs: Mixture Models, Expectation Maximization.