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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
How Do You Create Synthetic Data?
Counterfactuals is basically like, it's marked with creating synthetic data that challenges the assumptions you have from your models. So how do you use that? Is it in ABA testing? Yeah. Or could also be the identification stage. When you try to identify subpopulations and work well, you might create some counterfactuals. You see, huh, these are some problems my data have, maybe I fixed them directly. It could be in different times of the pipeline, but they're definitely very helpful.
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