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AP's Marketing Science Blog
Wednesday, 29 October 2014
INTRO TO BAYESIAN REASONING LECTURE
Here's a quick one to make the files available online from today's AI lecture at RMIT University. Much thanks to
Lawrence Cavedon
for making it happen.
Downloads
Lecture Notes
(PDF)
Course/grade/intelligence plate model example
(Netica file)
Output from sneezing diagnosis class exercise
(Netica file)
Burgular hidden markov model example
(Netica file)
Same burgular HMM in Excel
(XLS file)
Have fun and feel free to email me once you get your bayes-nets up and running!
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