Introduction to Probabilistic Graphical Models

Branislav Holländer
Towards Data Science
11 min readFeb 23, 2020

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Photo by Clint Adair on Unsplash

Probabilistic Graphical models (PGMs) are statistical models that encode complex joint multivariate probability distributions using graphs. In other words, PGMs capture conditional independence relationships between interacting random variables. This is beneficial since a lot of knowledge on graphs has been gathered over the years in various domains, especially on separating subsets, cliques and functions on…

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