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: 474)

  • 5 stars
    71,09 %
  • 4 stars
    21,30 %
  • 3 stars
    5,27 %
  • 2 stars
    1,05 %
  • 1 star
    1,26 %

LC

2 февр. 2019 г.

Very great course! A lot of things have been learnt. The lectures, quiz and assignments clear up all key concepts. Especially, assignments are wonderful!

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.

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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