Section outline
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The module will introduce the fundamentals of AI and machine learning, formalizing the main learning methods and providing knowledge on baseline ML methodologies including regression, neural networks, probabilistic/Bayesian models, causality, complemented with statistical methods for risk estimation and censored data.
Date Topic References Additional material 2 19/02/2026 (14-16)
Fundamentals of Probability and Statistics for AI
basic concepts of probability and statistics; random variables and probability distributions; hypothesis testing and statistical inference
[SD] Appendix C1-C3 (refresher)