M.I.T Lecture Videos

This course, comprised of 22 full-length lecture videos, provides students with an overview of various representations, techniques, and architectures used in building practical systems with a focus on computational intelligence. Students will learn about rule chaining, heuristic search, constraint propagation, constrained search, inheritance, and other problem-solving paradigms. Additionally, they will explore identification trees, neural networks, genetic algorithms, support-vector machines, boosting, and other learning paradigms. The course also delves into how vision, language, and story-understanding systems contribute to human-level intelligence. The course is structured with lectures for core content and context, “Right Now Talks” for insights into current research projects, and recitations for in-depth review, practice problems, and questions. By the end of the course, students are expected to achieve several goals, including gaining familiarity with problem-solving approaches, understanding data regularity exploitation techniques, comprehending computational theories related to human intelligence, and learning methods for enhancing human learning and influencing human thought. Lecture 20, which focuses on the AI business, is not available.