About this Course

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Coursera Labs
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Advanced Level
Approx. 38 hours to complete
English

Skills you will gain

  • Inference
  • Gibbs Sampling
  • Markov Chain Monte Carlo (MCMC)
  • Belief Propagation
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level
Approx. 38 hours to complete
English

Instructor

Offered by

Placeholder

Stanford University

Syllabus - What you will learn from this course

Week1
Week 1
25 minutes to complete

Inference Overview

25 minutes to complete
2 videos (Total 25 min)
1 hour to complete

Variable Elimination

1 hour to complete
4 videos (Total 56 min)
Week2
Week 2
18 hours to complete

Belief Propagation Algorithms

18 hours to complete
9 videos (Total 150 min)
Week3
Week 3
2 hours to complete

MAP Algorithms

2 hours to complete
5 videos (Total 74 min)
Week4
Week 4
15 hours to complete

Sampling Methods

15 hours to complete
5 videos (Total 100 min)
1 hour to complete

Inference in Temporal Models

1 hour to complete
1 video (Total 20 min)

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About the Probabilistic Graphical Models Specialization

Probabilistic Graphical Models

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