Predictive Analytics in the Cloud: Predicting Football

Jordan Tigani (Google )
Location: 211-212
Average rating: ****.
(4.31, 36 ratings)
Slides:   1-PPTX 

How can you turn raw data into predictions? How can you take advantage of both cloud scalability and state-of-the-art Open Source Software? This talk shows how we built a model that correctly predicted the outcome of 14 of 16 games in the World Cup using Google’s Cloud Platform and tools like iPython and StatsModels. I’ll also demonstrate new tools to integrate iPython with Google’s cloud and how you can use the same tools to make your own predictions.

Photo of Jordan Tigani

Jordan Tigani

Google

Jordan Tigani has more than 15 years of professional software development experience, the last four of which have been spent building BigQuery. Prior to joining Google, Jordan worked at a number of star-crossed startups, where he learned to make data-based predictions. He is a coauthor of Google BigQuery Analytics. When not analyzing soccer matches, he can often be found playing in one.