Holistic applied AI in engineering
This course series offers a practice-oriented introduction to the field of Machine Learning (ML) and Process Informatics in engineering. The first course, "Machine Learning in Production", conveys basic ideas about ML methods, e.g. algorithms and procedures in machine learning projects. Building on this, the second course, "Deep Learning for Sequential Process Data", deepens the area of neural networks for time series data, i.e. recurrent neural networks with TensorFlow. The third course, "Process Informatics", focuses on methods for data acquisition and visualisation from plants and sensors.

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consists of 4 parts
🏅︎
Micro Degree
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For free
©
CC BY-SA 4.0
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German