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. 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 carrier 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.