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

審閱

4.6(370 個評分)
  • 5 stars
    281 ratings
  • 4 stars
    53 ratings
  • 3 stars
    20 ratings
  • 2 stars
    5 ratings
  • 1 star
    11 ratings
VO

Apr 03, 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.

AE

May 09, 2018

Challenging, but well designed course covering cutting edge ML methods. The course assumes high proficency with Tensorflow, Keras, and Python.

從本節課中
Expectation-Maximization algorithm

教學方

  • Daniil Polykovskiy

    Daniil Polykovskiy

    Researcher
  • Alexander Novikov

    Alexander Novikov

    Researcher

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