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Interactive video lesson plan for: 21. Probabilistic Inference I

Activity overview:

* Please note: Lecture 20, which focuses on the AI business, is not available.
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston

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.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Tagged under: probability,conditional,independence,chain rule,belief net,causal relationship,joint probability table,graphical,intuition

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