Inference: Summary

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Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.6 (оценок: 461)
  • 5 stars
    70.71%
  • 4 stars
    21.69%
  • 3 stars
    5.20%
  • 2 stars
    1.08%
  • 1 star
    1.30%
LL
11 мар. 2017 г.

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
28 мая 2017 г.

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

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    Daphne Koller

    Professor

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