Claims reserving in general insurance with R and Keras

In loss reserving, actuaries are concerned with estimating liabilities from current and future, yet to be reported, claims. In this session, we first provide an overview of the loss reserving problem and current techniques. We then frame the loss reserving problem as a predictive modeling problem, and propose a deep learning approach to solve it. We benchmark the model against existing techniques, then discuss applications of deep learning to other problems in actuarial science and insurance.

[@emmanuelndahimana8613]

Nice talk, I like this video.

[@mariamchipanera9692]

hello ,i have been trying to find the dataset used for the neural network,Kindly help if you have a direct link .And also may you please supply with the script for the 30 lines of code.