Data Science on Firesquads: Classifying Emails with Naive Bayes
At Hudl, each squad on the product team takes two weeks each year to help out the coach relations team in an ongoing rotation known as Firesquads. This year, for Firesquads, the data science squad built a Naive Bayes classifier to automate the task of categorizing emails.
Aug 18, 2015
Using Deep Learning to Find Basketball Highlights
Hudl stores petabytes of video. In that video there are a lot of awesome plays. Figuring out which plays are the most interesting and sifting through the uninteresting footage is a huge challenge. To solve this problem, we leveraged deep learning, Amazon Mechanical Turk, and crowd noise. The result: basketball highlights!
Jun 5, 2015