Mar 6, 2014 · 6:30 PM
This location is shown only to members
How does Gmail decide which of your emails are important? Can a computer determine whether an email contains links to cat pictures or an urgent request from your boss? With modern data mining techniques, we can train a model to rate an email’s priority/importance. In this talk, we describe the major steps and data mining algorithms involved in designing and implementing a priority inbox. These include assembling the training data, tuning the model, and deploying to a production environment. Some basic knowledge about machine learning and python will be helpful - code examples will be available on Github.
About the presenter:
Max Mautner is a Senior Analyst at AdHarmonics, a Cambridge firm that matches auto insurance providers with customers online. He focuses on email, search, and display marketing. He has worked at Cogo Labs (Cambridge) on email marketing, as a derivatives trader in Chicago, and as a mathematics researcher at the National Science Foundation. He has a BA in Mathematics from Claremont McKenna College