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datageek

the algorithm needed to execute quickly. image analysis takes too long.
Re:Ask HN: Who is Hiring? (February 2012) on Wednesday February 01, 2012 @11:16AM (#3538553)
Kaggle - San Francisco, CA

We're looking for:

* Data scientists

* Developers (REMOTE)

* Technical sales

More information at http://www.kaggle.com/pages/jobs

Kaggle has just closed a large Series A ($11.25m). Our early employees will help shape Kaggle's direction and grow along with the company. Regardless of the position, you should have a strong interest in data science and the intellectual curiosity to engage with competition clients from a wide variety of fields.

Kaggle is aiming to build a meritocratic marketplace that will change the way data science gets done. Read more at: http://www.businessweek.com/magazine/kaggles-contests-crunch...

Re:Competition Shines Light on Dark Matter on Tuesday June 28, 2011 @02:06AM (#2704255)
FWIW, Martin O'Leary doesn't sound like a Jewish name.
Doesn't seem to be anything stopping ppl from including other data.

Data prediction competition site, Kaggle, gets a facelift

http://kaggle.com

According to the new site "Crowdsourcing data modeling is an effective way to build predictive algorithms. There are any number of approaches that can be applied to a data modeling problem, but it is impossible to know at the outset which will be most effective."<p>Any thoughts on whether crowdsourcing is likely to be an efficient way to do data analytics?

( Read More... | no comments | 3 points | on HN )
Re:Ask HN: Ideas for weekend projects? on Sunday September 12, 2010 @08:34AM (#1683543)
Build a better chess rating system and enter your system into the following competition: http://kaggle.com/chess.

You may want to use machine learning techniques, which you can learn using the Andrew Ng's Stanford lectures (http://www.youtube.com/watch?v=UzxYlbK2c7E&feature=chann...).

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