The event was organised by Data Science London, Data Science Global, and Kaggle. EMC/Greenplum provided software tools including: Greenplum Base, Greenplum Hadoop Distribution, MADlib, and Greenplum PL/R. Amazon AWS provided S3 and EC2 cloud services. The venue provided 100Mbps and 12 super high speed Wi-FI routers, and cable access.
212 data scientists from several cities around the world participated in the competition. The event took place at 8 venues in London, San Francisco, Chicago, Boston, New York, Canberra, Melbourne, Turku (Helsinki)
The event in London was hosted at HubWestminster @hubwestminster; a beautiful, spacious, modern startup hub that has everything you may possibly dream of for a hackathon. We love this place and we’ll be doing more events here (Hello Alice!)
We also had delicious quality meals (lunch/dinner/breakfast), unlimited drinks, coffee, and massive amounts of sugary snacks. The catering was delivered by the beautiful young ladies @munchfood (Hello Naomi!)
At certain point during the long night, Data Science London data scientists decided to donate food to several charities and shelters. It was a nasty, windy, and rainy night in London!
Very importantly the event was fun, fun, fun!
Congratulations to the winners!
SPECIAL MENTION to Ben Hamner who finished Top 1 out of 212 contestants, and who is ineligible for the prize since he’s a Kaggle employee.
Global Prize – £1,800: James Petterson
London Prize £1,200: The Londoners Team (Dan Harvey, Ferenc Huszar, Jedidiah Francis, Jose Miguel Fernandez Lobato)
As part of Big Data Week, we are happy to announce that Hilary Mason will be giving a talk at our @ds_ldn group meeting on April 23rd, 2012. If you are new to data science or an experienced data scientist, this is an opportunity for you to see a great speaker and one of the most respected data scientist in the startup community.
If you haven’t registered for this event, go here to register. Spaces are limited.
Hilary Mason is the Chief Scientist at bit.ly, where she finds sense in vast data sets. Her work involves both pure research and development of product-focused features.
She is a former computer science professor with a background in machine learning and data mining, has published numerous academic papers, and regularly releases code on her personal site, www.hilarymason.com.
She’s also a co-founder of HackNY (hackny.org), a non-profit organization that connects talented student hackers from around the world with startups in NYC.She has discovered two new species, loves to bake cookies, and asks way too many questions.
Watch Hilary talking at Strata 2011: “What Data Tells Us”
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