Optimising organized transport at scale
summary
Ola’s Data Sciences group addresses large-scale problems for a national taxi aggregator, including pricing, navigation/ETA prediction, and demand forecasting using data-driven methods. The talk also outlines parts of their data infrastructure, learning algorithms, and technology stack when time allows.
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