file:4. Hard-Margin Support Vector Machines.mp4 file:Markov Chain Monte Carlo and the Metropolis Alogorithm.mp4 file:Variational Methods for Computer Vision - Lecture 1 (Prof. Daniel Cremers).mp4 file:(ML 7.7.A1) Dirichlet distribution.mp4 file:(ML 7.7.A2) Expectation of a Dirichlet random variable.mp4 file:(ML 7.7) Dirichlet-Categorical model (part 1).mp4 file:(ML 7.1) Bayesian inference - A simple example.mp4 file:(ML 7.2) Aspects of Bayesian inference.mp4 file:(ML 3.3) Choosing f to minimize expected loss.mp4