PGM Course Summary

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查看授课大纲

您将学习的技能

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

审阅

4.6(278 个评分)
  • 5 stars
    72.30%
  • 4 stars
    19.42%
  • 3 stars
    5.03%
  • 2 stars
    2.51%
  • 1 star
    0.71%
ZZ
Feb 13, 2017

Great course! Very informative course videos and challenging yet rewarding programming assignments. Hope that the mentors can be more helpful in timely responding for questions.

MV
Apr 29, 2020

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

从本节课中
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.

教学方

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    Daphne Koller

    Professor

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