
- M.Sc.|MBA|Micro-Degree
- BDAI_graphicalmodels
- Starts:
- This course provides an introduction to probabilistic graphical models (PGMs), a framework that unifies probability theory and graph theory to describe and reason about complex systems with uncertainty. Students will explore different types of PGMs, including Bayesian networks and Markov random fields, and learn how to apply them in data analysis, machine learning, and decision-making. The course emphasizes both theoretical foundations and practical modeling skills.