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Machine Learning is often perceived as a complex and arcane art, requiring deep CS knowledge to apply successfully. This talk shows an example of modeling a real business problem (prerequisite assessment for an educational product) with a bayes net and tries to give intuition behind the model and accessible examples of the tools in play.

Ethan Vizitei is n engineer on the AI team at Udacity (work remote now from COMO). Ethan likes interesting problems, and likes telling other people about interesting problems. :)

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