Bayesian Methods for Machine Learning (with Honors)
Higher School of Economics
This is an excellent course from Russia and almost only for those who love mathematics and enjoy the procedure of derivation. Topics range from basic Expectation-Maximization to advanced such as Variational Autoencoder, and Bayesian Optimization. Programming assignments cover a few powerful libraries – PyMC, GPy, GPyOpt. This is definitely a course which differentiates “people who can do math” from “those who know concepts only”.
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