Inference: Summary

Loading...
Просмотреть программу курса

Получаемые навыки

Inference, Gibbs Sampling, Markov Chain Monte Carlo (MCMC), Belief Propagation

Рецензии

4.6 (оценок: 434)
  • 5 stars
    70%
  • 4 stars
    22%
  • 3 stars
    6%
  • 2 stars
    1%
  • 1 star
    1%
LL

Mar 12, 2017

Thanks a lot for professor D.K.'s great course for PGM inference part. Really a very good starting point for PGM model and preparation for learning part.

YP

May 29, 2017

I learned pretty much from this course. It answered my quandaries from the representation course, and as well deepened my understanding of PGM.

Из урока
Inference Summary
This module summarizes some of the topics that we covered in this course and discusses tradeoffs between different algorithms. It also includes the course final exam.

Преподаватели

  • Daphne Koller

    Daphne Koller

    Professor

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.