In this episode we talk about Timeseries and in the main part Prof. Dr. Marco Huber from IPA and Marc Zöller from GFT explain how their Timeseries AutoML tool works. In the news part we offer an an overview from Statistical (ARIMA) through ML (Random Forest, gradient boosting, …), Neural Networks (LSTM), AutoML and lately Transformers approaches.
Shownotes:
We thank our partner SIEMENS