Modeling and Data Mining For Artificial Intelligence.

Catalog description

This course explores cutting-edge machine learning methods (ML), their applications across various domains, and foundational methods in modeling and data mining for artificial intelligence (AI). Topics include transfer learning, representation learning, graph mining, fundamentals of generative models, and uncertainty estimation. The course also presents case studies, hands-on coding assignments, and a final group project allowing students to implement scalable algorithms and address real-world challenges in AI. Students will gain a solid understanding of the underlying concepts, algorithms, and applications of AI, and practical experience in developing and implementing AI systems using modern data mining methods and modeling approaches.