Description
Speaker: Sean Matthews, Jannes Quer
Track:PyData This talk focuses on a Bayesian approach of advanced time-series forecasting in the case of small data. We describe the stages of modelling from simple smoothing to advanced forecasting by applying Gaussian Processes and State Space Models.
Recorded at the PyConDE & PyData Berlin 2019 conference. https://pycon.de
More details at the conference page: https://de.pycon.org/program/AX9CSK Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde