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.
Jordan Tigani was one of the founding engineers on Google BigQuery, wrote the first book on the subject, and now leads its vision and roadmap as director of product management. Previously, Jordan worked at Microsoft Research and on the Windows Kernel team as well as at a number of star-crossed startups. He holds a bachelor’s degree from Harvard and a master’s degree from the University of Washington.
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