AI and Recommender Systems

Catalog description

This course offers an in-depth exploration of the design, development, and deployment of modern recommender systems and advanced AI techniques. Students will master both theoretical foundations and practical applications of key topics, including causal inference, advanced predictive modeling, ensemble methods, and big data challenges. By the end of the course, students will gain the expertise needed to design and implement robust, scalable AI-driven systems, equipping them to solve complex business analytics problems.