Inference: Summary

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Destrezas que aprenderás

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

Reseñas

4.6 (476 calificaciones)

  • 5 stars
    71,21 %
  • 4 stars
    21,21 %
  • 3 stars
    5,25 %
  • 2 stars
    1,05 %
  • 1 star
    1,26 %

LC

2 de feb. de 2019

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 de mar. de 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.

De la lección

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.

Impartido por:

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    Daphne Koller

    Professor

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