Climate Informatics Hackathon
On Saturday, September 26th, we will have a full-day, data science "hackathon!" Given a challenge problem in climate informatics, we'll form small teams to work on implementing machine learning and data mining algorithms and comparing their performance on this problem. The hackathon will be run in python, so start brushing up on your skills!
Come join the fun, practice implementing the algorithms you've learned about during the workshop, forge a collaboration, and/or stick around Boulder longer to take a hike and socialize!
The hackathon will be led by Balázs Kégl (CNRS) and Mehdi Cherti (CNRS). It is based on a RAMP (Rapid Analytics and Model Prototyping) that was run in June 2015, in Paris, put together by Balázs Kégl (CNRS), Claire Monteleoni (GWU), Mahesh Mohan (GWU), Timothy DelSole (COLA), Kathleen Pegion (COLA), Julie Leloup (UPMC), Alex Gramfort (LTCI).
Info on the June 2015 version is here:
The competition will be similar, with some format changes. You are highly encouraged to ramp up on python, numpy, pandas, x-ray, scikit-learn.
Please bring your own laptop. All experience levels welcome. We will divide into teams with mixed experience levels, e.g. some people who know how to use python and/or machine learning and some people with domain knowledge in climate science.
Some useful Python resources:
September 26, 2015, Hackathon, NCAR, Damon Room
Bus departs Millennium to NCAR
9:15 – 9:30
Welcome of participants and Coffee
9:30 – 10:00
Introduction talk: Balázs Kégl and Claire Monteleoni
10:00 – 12:00
12:00 – 1:30
Lunch and presentation of the first results
1:30 - 3:00
3:00 – 3:30
3:30 – 5:00
5:00 – 6:00
Debriefing and closing
Bus departs NCAR, return to Millennium