Doug Lautzenheiser

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In production, data, if available, is a lot more messy. It’s noisy, possibly unstructured, constantly shifting. It’s likely biased, and you likely don’t know how it’s biased. Labels, if there are any, might be sparse, imbalanced, or incorrect.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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