Monthly Archives: October 2015
Crash course on learning theory, part 2
It might be useful to refresh your memory on the concepts we saw in part 1 (particularly the notions of VC dimension and Rademacher complexity). In this second and last part we will discuss two of the most successful algorithm paradigms in … Continue reading
Posted in Machine learning, Optimization, Probability theory
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Crash course on learning theory, part 1
This week and next week I’m giving 90 minutes lectures at MSR on the fundamentals of learning theory. Below you will find my notes for the first course, where we covered the basic setting of statistical learning theory, Glivenko-Cantelli classes, Rademacher complexity, VC … Continue reading
Posted in Machine learning, Optimization, Probability theory
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