Our focus will be on recently implemented models. An important criterium for the machine learning applications which will be presented in the web session is that an actual model with a company’s data has been built.
In the beginning we will give a short introduction of machine learning and its best known and currently most widely used algorithms – decision trees derivatives and deep neural networks. Then we will introduce a few applications by presenting the context of the actuarial problem and the results. Our intention in this web session is not to present code or to actually go through the modelling process, but rather to offer as broad an overview as possible of the recent applications in the actuarial departments.