Talk on ‘Explainable deep learning for actuarial modelling’

In these past days I had the privilege of presenting on the topic of “Explainable deep learning for actuarial modelling” to Munich Re‘s actuarial and data science teams. In this talk I covered several explainable deep learning methods: the CAXNN, LocalGLMnet and ICEnet models.

My slides are attached below if this is of interest.

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