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Probabilistic Graphical Models 1: Representation
Master advanced probabilistic modeling using Bayesian networks and Markov networks for complex AI applications.
Course Cost
Free course
Advanced
Skill Level
64 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Probabilistic Graphical Models Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
90,912 Enrolled
English
What you'll learn
Represent complex probabilistic models using Bayesian and Markov networks
Analyze independence properties in graphical models
Implement temporal models using HMMs and DBNs
Design decision-making systems using influence diagrams
Apply PGMs to real-world machine learning problems
Skills you'll gain
This course includes:
8.8 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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CREATED BY
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There are 7 modules in this course
This rigorous course explores probabilistic graphical models (PGMs) as a framework for encoding probability distributions over complex domains. Students learn both directed (Bayesian Networks) and undirected (Markov Networks) representations, their theoretical properties, and practical applications. The curriculum covers advanced topics including template models, structured CPDs, and decision theory, with hands-on programming assignments in the honors track.
Introduction and Overview
Module 1 · 1 Hours to complete
Bayesian Network (Directed Models)
Module 2 · 11 Hours to complete
Template Models for Bayesian Networks
Module 3 · 1 Hours to complete
Structured CPDs for Bayesian Networks
Module 4 · 11 Hours to complete
Markov Networks (Undirected Models)
Module 5 · 17 Hours to complete
Decision Making
Module 6 · 22 Hours to complete
Knowledge Engineering & Summary
Module 7 · 53 Minutes to complete
Fee Structure
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Frequently asked Questions
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