Knowledge Engineering

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您将学习的技能

Bayesian Network, Graphical Model, Markov Random Field

审阅

4.6(1,356 个评分)

  • 5 stars
    74.92%
  • 4 stars
    17.62%
  • 3 stars
    5.30%
  • 2 stars
    0.88%
  • 1 star
    1.25%

MB

Aug 30, 2018

Filled StarFilled StarFilled StarFilled StarFilled Star

Excellent course, the effort of the instructor is well reflected in the content and the exercices. A must for every serious student on (decision theory or markov random fields tasks.

AK

Nov 12, 2016

Filled StarFilled StarFilled StarFilled StarFilled Star

Superb exposition. Makes me want to continue learning till the very end of this course. Very intuitive explanations. Plan to complete all courses offered in this specialization.

从本节课中

Knowledge Engineering & Summary

This module provides an overview of graphical model representations and some of the real-world considerations when modeling a scenario as a graphical model. It also includes the course final exam.

教学方

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    Daphne Koller

    Professor

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