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Data Drift - How do you handle data drift?
Answer
Several methods exist for dealing with data drift, including regularly checking in on how well a model is doing, adding new data to the model, and using machine learning models that are more resistant to drift. In this DataFramed podcast episode, we go into further detail on how to handle data science problems like drift after deployment.
