Industrial AI: Time Series, ick hör dir trapsen

Industrial AI Podcast

English - June 05, 2024 22:01 - 42 minutes - 34.4 MB
Technology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: AWS: Combine traditional ML use cases and GenAI

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

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.

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)
auto-sktime (mehr)

Our guest Marco Huber
Our guest Marc Zöller

#machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence