Another Paris ML Meetup#7 talk: What does it take to win the Kaggle/Yandex competition

I mentioned on Friday the three talks we will be having on Wednesday for the Paris Machine Learning Meetup #7: Machine Vision: VMX, Atheer One and VLAD

We will also feature Kenji Lefèvre-Hasegawa from the 'Dataiku Science Studio' team  (that includes Paul Masurel, Matt Scordia, Kenji Lefèvre and Christophe Bourguignat ) which just won First Prize of the Kaggle/Yandex competition out of 194 contenders ( the team listed as number one is OOC, i.e. Out Of Competition as it is a Yandex team). At the previous meetup, a member of that team, Matthieu Scordia, presented us what the team's strategy was at the time. I am told that the strategy changed in the last month of the challenge so we will get more insight directly from the horse's mouth.

Title: What does it take to win the Kaggle/Yandex competition

Abstract: I'll give a feedback on the "personnalized web search" Kaggle challenge for which our team won First prize. I will focus the talk on both the experience itself (team work and tools) and the models we've used. 

The Meetup group has now more than 460 members probably one of the largest Machine Learning Meetup group outside the US.

Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.