Reliably forecasting time-series in real-time - Charles Masson

PyData London 2018

Time-series forecasting is a well-studied research area but commonly used forecasting techniques usually fall short when used in a real-time setting for which computation speed, reactiveness to new patterns, robustness, and reliability are essential. In this talk, we will discuss forecasting methods that achieve those goals and will show how Python tools such as NumPy and Cython can help.

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