This course, part of the Master in Applied Artificial Intelligence program, covers the fundamentals of theoretical statistics that form the foundation for analyzing machine learning algorithms. Topics include statistical models, inference, maximum likelihood estimation, hypothesis testing, and Bayesian inference.
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