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.
Slawek Smyl is a senior data scientist at Uber with a speciality in forecasting. He is the winner of the IEEE Computational Intelligence in Forecasting Time Series Competition 2016, and most recently, won the M4 Forecasting Competition.
Jai Ranganthan is a director of product management at Uber.
Andrea Pasqua is a data science manager overseeing our Intelligent Decisions Systems team at Uber.
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