Huawei RAMP Data Challenges
Rapid Analytics & Model Prototyping using Python
What are RAMP Data Challenges
RAMP data challenges are a great way to collaboratively prototype and benchmark machine learning workflows. Participants submit their predictive solution (code), competing for the best score, and provide organisers with fully-functioning prototypes.
Participate in Data Challenges to
Compete
Compete with fellow participants in the competitive phase for money prizes in an exciting data challenge format
Collaborate
Exchange your solutions with your fellow participants in the open phase and watch how the blended score of the community improves
Learn
Learn data science from each other, especially during the open phase
Get hired
Make yourself visible and demonstrate your data science proŃess to companies who are looking for fresh talents
Next Data Challenge
Challenge topic: Transfer learning for detecting
failures of optical networks
Meet you on June 16th at 6PM (CET)
failures of optical networks
Meet you on June 16th at 6PM (CET)
Days
Hours
Minutes
Seconds
Data Challenge Overview
About RAMP
RAMP was originally developed as a tool for data scientists to efficiently and collaboratively solve the data analytics aspect of high-impact domain science problems. Since then, RAMP has undergone many iterations and has been used in teaching and benchmarking machine learning algorithms as well.
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