Statistical Learning Theory
The mathematical foundations of machine learning - PAC learning, VC dimension, Rademacher complexity, sample complexity, generalisation bounds, and the theory behind why regularisation works.
The mathematical foundations of machine learning - PAC learning, VC dimension, Rademacher complexity, sample complexity, generalisation bounds, and the theory behind why regularisation works.