About this Course

34,397 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level
Approx. 67 hours to complete
English

Skills you will gain

  • Bayesian Network
  • Graphical Model
  • Markov Random Field
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level
Approx. 67 hours to complete
English

Instructor

Offered by

Placeholder

Stanford University

Syllabus - What you will learn from this course

Content RatingThumbs Up84%(3,970 ratings)
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

TOP REVIEWS FROM PROBABILISTIC GRAPHICAL MODELS 1: REPRESENTATION

View all reviews

About the Probabilistic Graphical Models Specialization

Probabilistic Graphical Models

Frequently Asked Questions

More questions? Visit the Learner Help Center.