Conf42: Machine Learning 2021


Advanced machine learning time series forecasting methods review

Pawel Skrzypek

Pawel Skrzypek's LinkedIn account

Anna Warno
Data Scientist @

The presentation prepared by AI Investments and team.

We are working on time series forecasting for over 4 years and want to make a review of the latest and most advanced time series forecasting methods like ES-Hybrid, N-Beats, Tsetlin machine, and more.

We will provide also tips and tricks for forecasting difficult, noisy, and nonstationary time series, which can significantly improve the accuracy and performance of the methods. The complete time series forecasting methodology will be presented as well, along with the most efficient supporting tools. Also, a brief introduction to the ensembling of predictions will be done.

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