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In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.

Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.

This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl

For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz

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