Tag: Slawek Smyl
Forecasting at Uber: An Introduction
In this article, we provide a general overview of how our teams leverage forecasting to build better products and maintain the health of the Uber marketplace.
M4 Forecasting Competition: Introducing a New Hybrid ES-RNN Model
With a solid margin, Uber senior data scientist Slawek Smyl won the M4 Competition with his hybrid Exponential Smoothing-Recurrent Neural Networks (ES-RNN) forecasting method.
Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks
Recurrent neural networks equip Uber Engineering's new forecasting model to more accurately predict rider demand during extreme events.
