AI, Engineering
Time-series extreme event forecasting with neural networks at Uber
June 9, 2017 / GlobalAbstract
Accurate time-series forecasting during high variance segments (e.g., holidays), is critical for anomaly detection, optimal resource allocation, budget planning and other related tasks. At Uber accurate prediction for completed trips during special events can lead to a more efficient driver allocation resulting in a decreased wait time for the riders.
Authors
Nikolay Laptev, Jason Yosinski, Li Erran Li, Slawek Smyl
Conference
ICML 2017
Full Paper
Uber AI
Category:
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