Filed under: #mktgcloud, Analytics, Datarati, Predicitive Modelling | Tags: Data Scientists, Kaggle
Kaggle is fast approaching 13,000 data scientists. To help determine who is the best predictive modeler of them all, we invite you to use the comments feed on the Kaggle blog to place your bet on how many data scientists we’ll have by the end of 2011. (According to our chief scientist, Jeremy Howard, a quadratic function fits rather well.
Well done gents!
Filed under: #mktgcloud, Algorithms, Analytics, Data, Datarati | Tags: Data Mining, Kaggle
Starting in early April, Kaggle will be hosting the world’s biggest-ever data mining competition – the$3m Heritage Health Prize. The Heritage Provider Network (HPN) is a network of affiliated medical groups and physicians that is dedicated to helping solve a critical issue facing the United States: how to improve the quality of healthcare while at the same time decreasing the cost of providing that care.
Kaggle is immensely proud to be providing the platform for this competition, which we hope will result in those most in need getting faster and cheaper access to healthcare.
If you haven’t yet tried entering a Kaggle competition, we strongly suggest you start getting involved, to start sharpening your skills and building your network.
There are four interesting and varied competitions on the site right now and by getting involved, you’ll learn a lot about how to compete effectively and may make some great relationships with other competitors, who you could team up with in the $3m prize.
Filed under: Algorithms, Datarati, Predicitive Modelling | Tags: Kaggle, Predictive Analytics
Kaggle is proud to announce a world first! In-line with the Premier’s State Plan for Open Government, the New South Wales Minister for Roads, David Borger, today announced the first ever predictive modeling competition for government.
The NSW Roads and Traffic Authority (RTA) is offering $10,000 for the algorithm that best predicts travel times on Sydney’s M4 freeway. Two years’ worth of historical data on road use between 2008 and 2010 has been made available for the competition.
The predictive model will be used to enhance the RTA’s recently launched live traffic website that provides information to motorists on incidents and congestion.
This competition requires participants to predict edges in an online social network. The winner will receive free registration and the opportunity to present their solution at IJCNN 2011.
Social network analysis views relationships in terms of nodes (people) and edges (links or connections – the relationship between the people). This competition requires participants to predict edges in an online social network. The algorithms developed could be used to power friend suggestions for an online social network. Good friend suggestion algorithms are extremely valuable because they encourage connections (and the strength of an online social network increases dramatically as the number of edges increase).
For this competition, participants are given 7,237,983 contacts/edges from an online social network. Using this data, participants must predict whether the connections among a further 8,960 edges are true or false.
The winner receives free registration to the 2011 International Joint Conference on Neural Networks (San Jose, California July 31 – August 5, 2011). The winner will also be invited to present their solution at the conference.