A comprehensive course on Artificial Intelligence designed specifically for preparing for the Graduate Aptitude Test in Engineering (GATE) exam in Data Science and Artificial Intelligence paper in 2024. This course covers the fundamental concepts, algorithms, and applications of artificial intelligence, and provides in-depth knowledge and problem-solving skills required to excel in the GATE exam.

Syllabus:

Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics - conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.