They chose Python for the frontend and backend code and large-scale mathematical computations. The backend of Uber makes predictions about traffic, supply and demand, arrival times and approximate travel times.
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Michelangelo: Uber's Machine Learning PlatformThe platform can be trained on 3 models which are machine learning, deep learning, and natural language processing (NLP). Michelangelo is the de-facto platform that is used by all the internal teams of Uber.