You'll learn about Jupyter notebooks by building a machine learning model to detect anomalies in the vibration data for pumps used in a factory. This article is geared toward developers who want to understand machine learning and how to carry it out with a Jupyter notebook.
Similarly, I’d heard of Jupyter notebooks but didn’t really know what they were or how to use one. As stated in the documentation on GitHub, the blueprint enables declarative specifications that can be organized in layers and that define all the components used within an edge reference architecture, such as hardware, software, management tools, and tooling.Īt the beginning of the project, I had only a general understanding of machine learning and lacked the practitioner's knowledge to do something useful with it. This demo is part of the AI/ML Industrial Edge Solution Blueprint announced last year.
Recently, I was working on an edge computing demo that uses machine learning (ML) to detect anomalies at a manufacturing site.
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