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Interactive Learning
Probabilistic graphical models. Bayesian Networks is a advanced machine learning algorithm used for modeling uncertainty. Before learning Bayesian Networks, you should understand: conditional-probability, joint-distributions, graph-basics. Real-world applications include: Medical diagnosis, Risk analysis, Expert systems. This is an advanced topic requiring solid prerequisites.
Medical diagnosis
Risk analysis
Expert systems
Interactive lesson with visualizations and practice problems
Part of the Bayesian Networks lesson in Machine Learning