Scientists, practionist, data hackers, geeks, enthuasists
It started in London but is taking over the world. Data Science London and Data Science Global in partnership with Big Data Week are organizing the first global data hackathon from 15 noon Finland Apr 28 to 15 noon Apr 29 (UTC +2).
Data Science Finland will be organising the local hackathon.
The aim of the hackathon is to promote Data Science and show the world what is possible today combining Data Science with Open Source, Hadoop, Machine Learning, and Data Mining tools.
In addition, the event’s aim is also to promote the sense of community, team work, and free spirit competition for the sake of Data Science.
The Hackathon will run during 24 hours.The hackathon will start at 1pm London April 28 and will end at 1pm London April 29. All other Data Science Hackathons around the world will start & end at the same time than London venue. Data Scientists, data geeks, and hackers will self organize around teams with 3-5 members each team.
|12.00 - 14.45||Doors officially open
showing e-lectures made by Hilary Mason: An Introduction to Machine Learning with Web Data
|14.45 - 15.00||Opening talk
|15.00 - 19.00||First round - Competition starts|
|19.00 - 20.00||
|20.00 - 23.00||Second round|
|23.00 - 24.00||
|00.00 - 3.00||Third round - for strongest & youngest|
|3.00 - 7.00||Dawn of Silence.|
|7.00 - 11.00||Good morning, official coffee time, 4th round|
|11.00 - 12.00||
|12.00 - 15.00||5th and the last round|
|15.00 - 16.00||Letting steam out, waiting official results, |
|16.00 - 19.00||Sharing code, and packing stuff|
Info:Purpose of Lighting talk is to pitch own projects, code sources or startup ideas.
Please ping organizer to reserve your lightning talk.
The challenge – to improve the US Environmental Protection Agency’s Air Quality Index by coming up with better and more accurate predictive models of metropolitan air pollution. The EPA’s Air Quality Index is used daily by people suffering from asthma and other respiratory diseases to avoid dangerous levels of outdoor air pollutants, which can trigger attacks. The aim of the hackathon is to help build local early warning systems that are capable of accurately predicting dangerous levels of air pollutants on an hourly basis.
The dataset will be available for simultaneous download through the Kaggle platform, along with a description of the problem to be solved.