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Crowdsourcing data modelling

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If you have a question about this talk, please contact Zoubin Ghahramani .

Kaggle, is a global platform for data prediction competitions allowing researchers and companies to post their problem and have it scrutinised by the world’s data scientists.

By exposing a problem to a wide range of analysts and techniques, data prediction competitions turn out to be great way to get the most out of a dataset, given its inherent noise and richness. For example, Kaggle has been running a bioinformatics competition requiring participants to pick markers in HIV ’s genetic sequence that predict a change in viral load (a measure of the severity of infection). Within a week and a half, the best submission had already outdone the best methods in the scientific literature.

This talk will introduce data modelling competitions and talk about some of the statistical challenges.

This talk is part of the Machine Learning @ CUED series.

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