Probabilistic Graphical Models
By Coursera
on Coursera
· Data Science
About This Course
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.
Instructor
Stanford University
Frequently Asked Questions
How much does Probabilistic Graphical Models cost?
Probabilistic Graphical Models costs $49. Check the course page for current pricing and available discounts.
Who teaches Probabilistic Graphical Models?
Probabilistic Graphical Models is taught by Stanford University, Stanford University.
What skill level is Probabilistic Graphical Models for?
This course is designed for all levels learners.