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• 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