and Model Prototying.
During the RAMP, the participants submit predictive solutions (code). The models are trained on our back-end. The scores are displayed on a leaderboard. In the open phase, all participants have access to all code, and they are encouraged to look at and to reuse each other's solutions. This accelerates the development process since good ideas spread fast.
A great tool to learn data science! RAMPs are used in the MS Big Data at Telecom ParisTech, in three UPSaclay M2 programs (Data Science, AIC, Data and Knowledge), in a course on Machine Learning for Finance and Economics at Université Panthéon-Assas, in a graduate course in the Data analysis and decision program at Ecole Centrale de Lille.
Each RAMP attracts about 30-50 participants, coming from different backgrounds and carreer stages who usually meet for the first time. They develop a working relationship in a relaxed environment, and sometimes keep working together after the event.
RAMPs are organized by the Paris Saclay Center for Data Science: A multi-disciplinary initiative to define, structure, and manage the data science ecosystem at the University Paris-Saclay.