Two Effective Algorithms for Time Series Forecasting

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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

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Видео Two Effective Algorithms for Time Series Forecasting канала InfoQ