Example: Ising model

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Получаемые навыки

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

Рецензии

4.6 (оценок: 352)
  • 5 stars
    266 ratings
  • 4 stars
    52 ratings
  • 3 stars
    18 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.

Из урока
Variational Inference & Latent Dirichlet Allocation

Преподаватели

  • Daniil Polykovskiy

    Daniil Polykovskiy

    Researcher
  • Alexander Novikov

    Alexander Novikov

    Researcher

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