Model Tests are Critical for Building Domain Knowledge

Model Tests Are Critical for Building Domain Knowledge

Testing protects against regressions. But the most important product of testing is domain knowledge and powerful capabilities.

Selection of the boundary between two distributions in embedding space. Image by author.

Testing is a critical but often ignored practice in machine learning. Building a machine learning system without testing is likely to produce bad outcomes at the worst time — when all the boxes feel checked, when the model is put into production, …

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