Probabilistic Inference I 
Probabilistic Inference I
by MIT
Video Lecture 21 of 30
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Date Added: July 1, 2016

Lecture Description

* Please note: Lecture 20, which focuses on the AI business, is not available.




We begin this lecture with basic probability concepts, and then discuss belief nets, which capture causal relationships between events and allow us to specify the model more simply. We can then use the chain rule to calculate the joint probability table.

Course Index

Course Description

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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