Kaggle
site ToolsKaggle is an innovative solution for statistical/analytics outsourcing. They are the leading platform for data modeling and prediction competitions. Their crowdsourced data modeling is an effective...
Web's Largest listing of crowdsourcing and crowdfunding events
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Kaggle is an innovative solution for statistical/analytics outsourcing. They are the leading platform for data modeling and prediction competitions. Their crowdsourced data modeling is an effective...
Here are the top ten data scientists active on Kaggle: 1. Alexander D’yakonov. 2. Sergey Yurgenson. 3. Vivek Sharma 5. Xavier Conort 6. Tim Salimans 7. Vladimir Nikulin 8. David J....
Essentially, Kaggle taps into the heaps of corporate data that's readily available within a company to create competitions for data-prediction models. Once the competition is announced, data...
Kaggle says its competitions are open to a community consisting of “more than 17,000 PhD-level data scientists located around the world.” Speaking to these scientists’ data-driven hearts, Kaggle...
Google Chief Economist Hal Varian says this of Kaggle: “Kaggle is a way to organize the brainpower of the world’s most talented data scientists and make it accessible to organizations of every...
Kaggle is a classic “brain-based” crowd competition site. Organizations post statistical problems and Kaggle’s crowd of “the world’s best data analysts” compete to solve them. As well as prize...
Kaggle takes a business need, and adds what could be called ‘meritocratic gamification’. According to Nicholas Gruen founding chairman Kaggle “We think of games as frivolous, and not only are...
Unlike most Kaggle contests, with this one the potential entrants are working towards improving a device that is used by millions of people, but in a different context. The idea is to push the...
Kaggle plans to instead take a cut of the prize money and also to emphasize invitation-only competitions. The idea is to let companies put sensitive information on Kaggle and have only 10 to 15...
Moving forward, Kaggle plans to instead take a cut of the prize money and also to emphasize invitation-only competitions. The idea is to let companies put sensitive information on Kaggle and have...
Boehringer Ingelheim is working with Kaggle – which has already successfully helped companies and researchers solve problems by holding competitions with cash incentives. PSFK reports that...
But thanks to Kaggle in Class, students around the world have the opportunity to make math more fun, or at least more socially engaging. According to Tim Salimans, a 26-year-old Ph.D. candidate...
Kaggle thinks it can become the go-to source for anyone needing help with machine-learning because its approach forces the platform to prove its worth. Fairly or not, Chief Scientist Jeremy...
Kaggle, a platform for predictive modeling competitions, today introduced Kaggle Prospect, its latest product to help companies, governments, and organizations turn their data sets into valuable...
Kaggle hopes to change that with a twist on its predictive-modeling competition platform that makes public the competitors in invite-only private competitions. Think of it like watching a major...
Impermium, the leader in user-generated content protection, and Kaggle, a platform for predictive modeling competitions, announced today the results of a contest to take on the crudest, rudest,...
Kaggle envisions to grow into a hive buzzing with enough public and private competitions to support hundreds or thousands of data scientists relying on Kaggle for their full-time incomes. In the...
CrowdFlower Founder Lukas Biewald and Kaggle Founder and Chief Executive Officer Anthony Goldbloom, two visionaries in the burgeoning crowdsourcing industry, will lead the discussion entitled...
The competitive nature of Kaggle and the fact that it draws in experts from a variety of disciplines makes it a powerful tool for solving problems that have stumped science agencies like NASA for...
On one level, of course, Kaggle is just another spin on crowdsourcing, tapping the global brain to solve a big problem. That stuff has been around for a decade or more, at least back to Wikipedia...