Automation, data, and geoscience — for practitioners who build things.
Most exploration databases are built from samples that earned their way into the dataset. That selection process can flip correlations on their head and quietly mislead any analysis built on top of it.
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Two recent accidents have had me thinking about how we use the phrase 'human error.' This post is a small detour from my usual topics, looking at what...
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Historical geological reports contain valuable information that is rarely used beyond their original purpose. This post shows how text mining can extract, structure, and integrate that information into...
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Geologists often underestimate how much of their existing skill set already maps onto data science. Domain knowledge, uncertainty, spatial reasoning, and pattern recognition are not side benefits. They...
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Feature engineering is where geological intuition becomes something a model can actually use. In mineral exploration, the challenge is not just building a model, but deciding what geological...
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