학생용

Example: Ising model

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강의 계획서 보기

배우게 될 기술

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

검토

4.5(655개의 평가)
  • 5 stars
    69.61%
  • 4 stars
    18.93%
  • 3 stars
    5.64%
  • 2 stars
    2.13%
  • 1 star
    3.66%
VO
2019년 4월 2일

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.

AD
2020년 10월 31일

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!

수업에서
Variational Inference & Latent Dirichlet Allocation

강사:

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    Daniil Polykovskiy

    Sr. Research Scientist
  • Placeholder

    Alexander Novikov

    Researcher

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