About this Course

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Shareable Certificate
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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.
Advanced Level
Approx. 38 hours to complete
English

Instructor

Offered by

Placeholder

Stanford University

Syllabus - What you will learn from this course

Week
1

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)
Week
2

Week 2

18 hours to complete

Belief Propagation Algorithms

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

Week 3

2 hours to complete

MAP Algorithms

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

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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