file:Variational Methods for Computer Vision - Lecture 1 (Prof. Daniel Cremers).mp4 file:Using Bayesian MCMC for Dynamic Model Parameter Estimation 1 -- Basic concepts.mp4 file:Opinionated Lessons in Statistics- #41 Markov Chain Monte Carlo, Example 2.mp4 file:Markov Chain Monte Carlo.mp4 file:Markov Chain Monte Carlo and the Metropolis Alogorithm.mp4 file:Ian Fellows - How to solve (almost) any problem using Markov Chain Monte Carlo.mp4 file:4. Hard-Margin Support Vector Machines.mp4 file:(ML 9.7) Basis functions MLE.mp4 file:(ML 9.5) MLE for linear regression (part 2).mp4