Industrial AI: Time Series, ick hör dir trapsen

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. Thanks for listening. We welcome
suggestions for topics, criticism and a few stars on Apple, Spotify
and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/
xLSTM Github ([mehr](https://lnkd.in/eG3HWJrs)) auto-sktime
([mehr](https://github.com/Ennosigaeon/auto-sktime)) Our guest
[Marco Huber ](https://www.linkedin.com/in/marco-huber-78a1a151/)
Our guest [Marc Zöller ](https://www.linkedin.com/in/marc-zoeller/)
#machinelearning #ai #aimodel #industrialautomation #manufacturing
#automation #genai #datascience #mlops #llm #IndustrialAI
#artificialintelligence #sklearn