Why approximate inference?

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강의 계획서 보기

배우게 될 기술

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

검토

4.6(420개의 평가)
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    314 ratings
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    66 ratings
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    5 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.

수업에서
Variational Inference & Latent Dirichlet Allocation

강사:

  • Daniil Polykovskiy

    Daniil Polykovskiy

    Sr. Research Scientist
  • Alexander Novikov

    Alexander Novikov

    Researcher

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