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Forecasting airline passengers with designer ma...

Forecasting airline passengers with designer machine learning

The ability to accurately forecast the amount of passengers that will board a particular flight is crucial for airline operations. But how do we design a machine learning algorithm for this use case and in what ways can we improve it? In this talk, we start with a simple linear model, evolving to increasingly complex deep learning neural network architectures.

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Alexander Backus

May 26, 2018
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