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Max Khesin will be giving an introduction to graphical models. He's included the following links as background material for the talk.
Bayesian networks without tears - good intro specific to BNN (which is the bigger part of what I want to cover)
http://www.cs.brown.e...
Kevin Murphy's page on Graphical models:
http://people.cs.ubc.... - this is a broader/shallower introduction to the area.
I think I made something confusing in the presentation, trying to fix it here:
http://www.meetup.com/NYC-Machine-Learning/messages/92487...![]()
(referring to the mailing list due to comment length limit)
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Guys, here are the resources for the talk:
Slides:

http://www.slideshare.net/xamdam/graphical-models-4dummie...
Video of the talk (it actually worked ok!):
http://www.blip.tv/file/3234694