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beanhead0321 t1_j6nbq1j wrote

I remember sitting in on a talk from a large insurance company who did this a number of years back. They used DL for feature engineering, but used traditional ML for the predictive model itself. This had to do with satisfying some regulatory requirements around model interpretability.

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aschroeder91 t1_j6nliim wrote

the real innovation will be comfortably backpropagating through the hybrid model as a whole

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ktpr t1_j6nmsol wrote

Did they claim traditional ML explained the features engineered by the DL? If so, how did they explain the units of feature variables?

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