Actuarial Modelling: GLM vs. GBM

Our third meeting will take place on 13.08.2025 (18:00-19:00), online, via Webex. After joining the event you will be able to see the link for the Webex Session.

Actuarial Modelling: GLM vs. GBM
Marco provides a brief introduction to the machine learning method of Gradient Boosting Machines (GBM) and reviews some basic properties of Generalized Linear Models (GLM). He compares their respective strengths and weaknesses. What should you pay attention to if you want to use GBMs instead of GLMs, and what is important if you want to utilize models in an actuarial business context?

Marco Breitig is Head of Motor Retail Pricing at Allianz Suisse with several years of experience in actuarial modeling and machine learning. He holds a PhD in high-dimensional statistics and abstract probability theory.

General Information
The working group Data Science in the SAA (Swiss Association of Actuaries) is pleased to present its Meet Up Series: Actuarial Data Science Reading Club. In a casual and interactive setting, actuaries and data scientists will have the opportunity to share their experiences and learn from each other.

Each session will evolve around one practical topic of interest, which will be briefly introduced at the beginning.
If you are looking to discuss ideas, ask questions or simply be inspired by people working on similar topics, this might be for you! The events are free and open to all levels of experience.