Latent Variable Models

video-placeholder
Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.5 (оценок: 655)
  • 5 stars
    69.61%
  • 4 stars
    18.93%
  • 3 stars
    5.64%
  • 2 stars
    2.13%
  • 1 star
    3.66%
VO
2 апр. 2019 г.

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
31 окт. 2020 г.

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!

Из урока
Expectation-Maximization algorithm

Преподаватели

  • Placeholder

    Daniil Polykovskiy

    Sr. Research Scientist
  • Placeholder

    Alexander Novikov

    Researcher

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.