Applying and Interpreting Deep Learning: Two Stories from Insurance

Abstract

We discuss two recent projects in applying modern neural network techniques to actuarial science. Specifically, new approaches to property & casualty (P&C) loss reserving and shock lapse modeling for level premium term life products are described. We also discuss practical considerations around model interpretability and uncertainty.

Date
Event
The Data Science Conference
Location
Chicago
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