Gradient boosting is a machine learning algorithm that is used for classification and ... It might be a good idea to use a materialized view of your time series data for forecasting with XGBoost.

To read about real-world time series forecasting use cases, see the Veritas storage forecasting and Playtech machine learning case studies. Time series decomposition ...

We explore the added value of deep learning techniques for forecasting and nowcasting in official statistics as an alternative to classic time series models. Several neural network algorithms are ...

CEBRA is a machine-learning method that can be used to compress time series in a way that reveals otherwise hidden structures in the variability of the data. It excels at processing behavioural ...