Example: EM for discrete mixture, M-step

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Destrezas que aprenderás

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


4.5 (669 calificaciones)
  • 5 stars
    69,95 %
  • 4 stars
    18,83 %
  • 3 stars
    5,53 %
  • 2 stars
    2,09 %
  • 1 star
    3,58 %
2 de abr. de 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.

31 de oct. de 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!

De la lección
Expectation-Maximization algorithm

Impartido por:

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    Daniil Polykovskiy

    Sr. Research Scientist
  • Placeholder

    Alexander Novikov


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