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The Measurement Minute by Gary Angel

When you use human annotation or data factory techniques to create ML training data, there’s always a risk that your training data won’t match the real-world data. When that happens, you’re ML models can look great but perform terribly. Model coherence is one strategy we used to identify and combat that problem.