Spring is the season when bracketology is in bloom!
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Launched today:
March Machine Learning Mania 2015!
$15,000 in total prizes
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Back by popular demand, Kaggle is excited to announce the launch of our second annual March Mania competition! Presented by the HP Haven Big Data platform, the competition challenges you to predict the winners and losers of the NCAA's popular year-end basketball tournament.
While your co-workers are making predictions based on their alma mater and the likability of a team's mascot, your machine learning model will sweep the office pool and compete to win $15,000 in total prize money.
In a tournament rife with upsets and Cindarella stories, the odds of filling out a perfect bracket are astronomical. Can Kagglers create more accurate brackets than college basketball fanatics, sportscasters, and leading statisticians? We provide 30 years of historical tournament data to get you started and highly encourage competitors to bring in data from outside sources.
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Predicting the winner of March Madness takes analytic foresight with serious horsepower. For fast insights, the HP Vertica Analytics Platform allows organizations to create, use, and deploy User-Defined Functions written in R.
HP Vertica Distributed R is an open-source, scalable, and high-performance platform for the R language that accelerates large-scale machine learning by splitting tasks between multiple processing nodes to vastly reduce execution time. You can now analyze much larger data sets (terabytes of data based on billions of rows) at incredible speeds, all while using the familiar R look and feel and existing statistical packages.
Learn more ways to use the HP Haven platform to climb the March Mania leaderboard and to take on large scale data challenges.
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