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General Information

Websitekaggle.com
Blogkaggle.com/blog
Twitter@kaggle
CategoryOther
Emailinfo@kaggle.com
Employees15
Founded4/10
DescriptionWorld's best data scientists

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San Francisco
188 King St. Unit 502
San Francisco, CA, 94107
USA

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Kaggle

Kaggle is a platform for predictive modeling and analytics competitions. Companies and researchers post their data. Statisticians and data miners from all over the world compete to produce the best models. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know at the outset which technique or analyst will be most effective.

How a Kaggle competition works:

  1. The competition host prepares the data and a description of the problem. Kaggle offers a consulting service which can help the host do this, as well as frame the competition, anonymize the data, and integrate the winning model into their operations.

  2. Participants experiment with different techniques and compete against each other to produce the best models. For most competitions, submissions are scored immediately (based on their predictive accuracy relative to a hidden solution file) and summarized on a live leaderboard.

  3. After the deadline passes, the competition host pays the prize money in exchange for the winning model.

Alongside its public competitions which are open to anyone, it also offers private competitions open only to top data scientists (who are background checked and sign NDAs with the competition host), and Kaggle-in-Class for university groups.

Kaggle has over 23,000 data scientists worldwide, from fields such as computer science, statistics, economics and mathematics. It has partnered with organisations such as NASA, Wikipedia and Allstate for its competitions. Kaggle is best known as the platform that’s hosting the $3 million Heritage Health Prize. Its latest competition involves improving gesture recognition for Microsoft Kinect.

Competitions have resulted in many successful projects including furthering the state of the art in HIV Research, chess ratings and traffic forecasting. Several academic papers have been published on the basis of findings made in Kaggle competitions. A key to this is the effect of the live leaderboard, which encourages participants to continue innovating beyond existing best practice.

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Kaggle Private Competitions

Kaggle provides the same platform as with its public competitions, except that access is limited to a select group of top Kaggle players. Each participant is background checked and subject to an NDA. This kind of competition is particularly suitable for large companies with sensitive datasets. The majority of competitors receive prize money, which is structured similar to a golf tournament.

Kaggle Public Competitions

Websitekaggle.com
Tags maurice-joway-king-joway

Data prediction competitions that allow organizations to post their data and have it scrutinized by the world’s best data scientists. The competitions involve three steps:

  1. Upload.

The competition host provides the raw data and a description of the problem.

  1. Submit.

Participants experiment with different techniques and compete against each other to produce the best models. For most competitions, submissions are scored immediately (based on their predictive accuracy relative to a hidden solution file) and summarized on a live leaderboard.

  1. Evaluate and Exchange.

After the deadline passes, the competition host pays prize money in exchange for the winning model.

Kaggle offers a consulting service, which can help the competition host prepare the data, frame the competition, anonymize their data, and integrate the winning model into their operations.

Kaggle-in-Class

Kaggle-in-Class allows instructors to host data prediction competitions for their students. Competitions are a great way to engage students, giving them the opportunity to put into practice what they learn in their courses. Kaggle-in-Class competitions are restricted to students in a class, and are ideal for university projects. Best of all, they’re free to run!

Sources

  1. Index And Khosla Lead $11M Round In Kaggle, A Platform For Data Modeling Competitions (techcrunch.com) [edit]
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Last Edited 5/23/13

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