Daniil Polykovskiy

Daniil Polykovskiy graduated Moscow State University with honors. He is now a researcher in Insilico Medicine and a member of Bayesian methods group. He is mainly interested in natural language processing and generative models. He teaches Neural Networks for Machine learning course in Moscow State University.

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Bayesian Methods for Machine Learning (Coursera)

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like [...]
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