Example: Bernoulli

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.6 (оценок: 448)
  • 5 stars
    334 ratings
  • 4 stars
    72 ratings
  • 3 stars
    23 ratings
  • 2 stars
    7 ratings
  • 1 star
    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
Introduction to Bayesian methods & Conjugate priors

Преподаватели

  • Daniil Polykovskiy

    Daniil Polykovskiy

    Sr. Research Scientist
  • Alexander Novikov

    Alexander Novikov

    Researcher

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.