From factory floors to AI agents — engineering with data.
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How I built a Claude Code skill for publication-quality matplotlib charts over 50 iterations — and what happened when I automated its improvement.
Why care about data-driven condition monitoring techniques? In this post, we articulate the business case for using these advanced methods in an industrial environment.
How I built a Claude Code skill for publication-quality matplotlib charts over 50 iterations — and what happened when I automated its improvement.
Why build an open-source package for machinery data?
A wellspring of ideas
Music to my ears... err... eyes? The violin plot is a worthy tool for any data visualization tool box. Let's build one, in Plotly, as we explore historic birth trends in the USA!
Using Jupyter Notebooks in a high performance computing environment is easy! This tutorial will show you how.
We've trained the variational autoencoders, and in this post, we see how the models perform in anomaly detection. We check both the input and latent space anomaly detection effectiveness.
