Artificial Intelligence free videos and free material uploaded by Massachusetts Institute of Technology. This session contains about Artificial Intelligence Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject
We believe that the lectures, tutorials, mega-recitations, and recitations are all an important part of the MIT experience, and we work hard to make them interesting and useful.
Lectures introduce most of the material and provide the big picture. We often include questions on the quizzes and final that you can answer only by faithful lecture attendance.
Mega-recitations demonstrate how to work problems of the kind that tend to show up on the quizzes.
Recitations introduce some of the material, answer questions, provide additional perspective, and provide a venue small enough for discussion.
Tutorials provide help with the homework and provide additional opportunity to ask questions and engage in discussion in an even smaller venue.
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
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