PGM Course Summary

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学習するスキル

Algorithms, Expectation–Maximization (EM) Algorithm, Graphical Model, Markov Random Field

レビュー

4.6 (276 件の評価)
  • 5 stars
    72.46%
  • 4 stars
    19.20%
  • 3 stars
    5.07%
  • 2 stars
    2.53%
  • 1 star
    0.72%
MV

Apr 30, 2020

Great course, especially the programming assignments. Textbook is pretty much necessary for some quizzes, definitely for the final one.

JR

Jan 29, 2018

Great course! It is pretty difficult - be prepared to study. Leave plenty of time before the final exam.

レッスンから
PGM Wrapup
This module contains an overview of PGM methods as a whole, discussing some of the real-world tradeoffs when using this framework in practice. It refers to topics from all three of the PGM courses.

講師

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    Daphne Koller

    Professor

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