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Interpretable Machine Learning for Insurance

Interpretable Machine Learning for Insurance Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a ...
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Description: Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of methods for interpreting machine learning models from the growing field of Interpretable Machine Learning (IML).
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- Authors: Larry Baeder, Peggy Brinkmann, Eric Xu
- Date: Mar 2021
- Competency: External Forces & Industry Knowledge
- Topics: Technology & Applications

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Interpretable Machine Learning for Insurance