The seminar will alternate between methodological concepts and practical examples in order to ensure a comprehensive understanding of the techniques presented.
The instructor-led sessions will take place online over three days between 9:00 and 12:30.
The participants will be requested to look at 5 e-learning capsules (of around 30 minutes each):
- Non-life premium and premium provision
- Claims and claims provisions
- An introduction to Solvency II
- Supervised Machine Learning (part 1: error measure, decision tree, bagging, and random forest)
- Supervised Machine Learning (part 2: gradient boosted methods, neural networks, support vector machine)
The participants will be requested to watch 1 recorded session (of around 30 minutes):
- Generalized linear models
The e-learning capsules and recording contain pedagogical presentations of the concepts with examples. They can be followed by the participants whenever they want between the web sessions, as pre-requisites.
The examples are developed in R. We encourage participants to actively participate during the sessions.
Examples in e-learning capsules and during the sessions are based on our experience with Belgian companies but are not specific to Belgium and are rather applicable to most European countries.
