Through the implementation of an honest-to-goodness Bayesian classifier, we’ll tour the major topics of supervised machine learning: tokenization, feature selection and vectorization, model training and tuning, and execution. Time permitting, we’ll touch on other techniques and topics.

About the speaker:

John Melesky’s been programming on the web since gopher was a legitimate competitor. He is the team lead for the Analytics team at Janrain, where he gets to get his hands covered in all sorts of interesting data.