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How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055
The Data Scientist Show
Synthetic Data Created by SMOAD
SMOAD is a famous methodology, but none of us have seen people use that in production. You can create synthetic data by just trying to get lookalike data. There's some great tools and some great research. For Microsoft, there is dice from... There is text attack for an LP. And you can also create synthetic data to test your assumptions in your model.
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