Example: EM for discrete mixture, E-step

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Skills You'll Learn

Bayesian Optimization, Gaussian Process, Markov Chain Monte Carlo (MCMC), Variational Bayesian Methods

Reviews

4.5 (623 ratings)
  • 5 stars
    70.14%
  • 4 stars
    18.45%
  • 3 stars
    5.77%
  • 2 stars
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  • 1 star
    3.37%
VO
Apr 2, 2019

Great introduction to Bayesian methods, with quite good hands on assignments. This course will definitely be the first step towards a rigorous study of the field.

AD
Oct 31, 2020

A bit more background on the maths used would go a long way n better elucidating the concepts. All in all a great course with a suitable level of detail, Kudos!

From the lesson
Expectation-Maximization algorithm

Taught By

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    Daniil Polykovskiy

    Sr. Research Scientist
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    Alexander Novikov

    Researcher

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