Analyzing ride-hailing demand patterns across multiple U.S. cities using public Uber trip data to identify trends, seasonal effects, and anomalies — with geospatial visualization and a 7-day ahead ...
Michelangelo was introduced to simplify machine learning deployment at Uber's scale. The platform standardises workflows and tools for machine learning across various teams. Before Michelangelo, ...
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