Why approximate inference?

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Получаемые навыки

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

Рецензии

4.6 (оценок: 432)
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    322 ratings
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    69 ratings
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    12 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

    Sr. Research Scientist
  • Alexander Novikov

    Alexander Novikov

    Researcher

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