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)

Output from sneezing diagnosis class exercise (Netica)

Burgular hidden markov model example (Netica)

Same burgular HMM in Excel (Excel)

Have fun and feel free to email me once you get your bayes-nets up and running!