An exponential family is a set of probability distributions that have a specific mathematical form, chosen for convenience and generality. They are often referred to as "exponential class" or "Koopman-Darmois family". Exponential families have desirable properties, including the existence of a sufficient statistic, and were introduced by Pitman, Darmois, and Koopman in the 1930s. They provide a framework for parameterization and defining useful sample statistics.

Stanford University

Winter 2023

This comprehensive course covers various machine learning principles from supervised, unsupervised to reinforcement learning. Topics also touch on neural networks, support vector machines, bias-variance tradeoffs, and many real-world applications. It requires a background in computer science, probability, multivariable calculus, and linear algebra.

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+ 32 more conceptsStanford 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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