The BayesianNetwork Paclet - Graphical Probabilistic Models for Reasoning Under Uncertainty

Learn to work with Bayesian networks using Wolfram's BayesianNetwork paclet in this 20-minute technical presentation. Explore how Bayesian networks serve as graphical probabilistic models that efficiently represent multivariate probability distributions in factored form. Discover the capabilities of these networks for reasoning under uncertainty and evaluating how evidence impacts beliefs. Master the functionality and implementation of the BayesianNetwork paclet through practical demonstrations and examples that showcase its applications in probabilistic modeling and inference tasks.