About this Course

Learner Career Outcomes

19%

started a new career after completing these courses

17%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 67 hours to complete
English

Skills you will gain

Bayesian NetworkGraphical ModelMarkov Random Field

Learner Career Outcomes

19%

started a new career after completing these courses

17%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 67 hours to complete
English

Instructor

Offered by

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Stanford University

Syllabus - What you will learn from this course

Content RatingThumbs Up84%(3,757 ratings)Info
Week
1

Week 1

1 hour to complete

Introduction and Overview

1 hour to complete
4 videos (Total 35 min)
12 hours to complete

Bayesian Network (Directed Models)

12 hours to complete
15 videos (Total 190 min), 6 readings, 4 quizzes
Week
2

Week 2

2 hours to complete

Template Models for Bayesian Networks

2 hours to complete
4 videos (Total 66 min)
12 hours to complete

Structured CPDs for Bayesian Networks

12 hours to complete
4 videos (Total 49 min)
Week
3

Week 3

18 hours to complete

Markov Networks (Undirected Models)

18 hours to complete
7 videos (Total 106 min)
Week
4

Week 4

22 hours to complete

Decision Making

22 hours to complete
3 videos (Total 61 min)

Reviews

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About the Probabilistic Graphical Models Specialization

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