Introduction to Automata and Cybernetic Systems Theory

Catalog description

This introductory course is a survey of the most common machine learning approaches used in creating descriptive and predictive analytical solutions. Students will be introduced to both the theoretical concepts and practical applications of machine learning and autonomous system. The course material introduces the probabilistic programming paradigm. Case studies will be used to illustrate the application of probabilistic programming frameworks in an applied industrial perspective.