A graphical model, also known as a probabilistic graphical model or structured probabilistic model, is a type of probabilistic model that uses a graph to represent the relationship between random variables. These models are widely used in probability theory, statistics (especially Bayesian statistics), and machine learning.
Stanford University
Winter 2023
An in-depth study of probabilistic graphical models, combining graph and probability theory. Equips students with the skills to design, implement, and apply these models to solve real-world problems. Discusses Bayesian networks, exact and approximate inference methods, etc.
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