Lectures and reading

Lecture 1 Introduction to learning theory, learning from expert advice 

Examples of machine learning problems,  classification of learning models, learning from expert advice, the weighted majority + RWM algorithms + their analysis, discussion of lower bounds,

Reading:

• Chapter 1  in book 1

Last year's scribe notes:

• Lecture 1

• Lecture 2