About this Course

Learner Career Outcomes

17%

started a new career after completing these courses

18%

got a tangible career benefit from this course

18%

got a pay increase or promotion
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. 38 hours to complete
English

Skills you will gain

InferenceGibbs SamplingMarkov Chain Monte Carlo (MCMC)Belief Propagation

Learner Career Outcomes

17%

started a new career after completing these courses

18%

got a tangible career benefit from this course

18%

got a pay increase or promotion
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. 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)

Reviews

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About the Probabilistic Graphical Models Specialization

Probabilistic Graphical Models

Frequently Asked Questions

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