Machine learning methods are also becoming more and more important in the insurance industry. A widespread and in practice very successful method of machine learning uses so-called artificial neural networks.

Organised by the EAA - European Actuarial Academy GmbH.

Our web session is addressed to interested persons who would like to get a first overview and a selective insight into artificial neural networks. We do not require any specific previous knowledge and start from a very basic level. 

Technical requirements and test session
Please check with your IT department if your firewall and computer settings support web session participation (the programme Logmein is used for the web session). Please also make sure that you are joining the web session with a stable internet connection. 

On 1 September 2020, 10:00 – 10:30 CEST, there will be a test session offered to all registered participants to test the software.

In our web session we would like to give an elementary introduction to the idea, the mathematics and the implementation of artificial neural networks. In addition to the theoretical foundations, we implement artificial neural networks in R and Python as examples and apply them to concrete problems.

The language of the web session will be English.

Dr Axel Kaiser
is Mathematician & actuary (DAV) at SIGNAL IDUNA Insurance Group in Hamburg, Germany, where he is in charge of ALM and Solvency II in health business. He has been using Computer Science for many years and is a member of DAV’s Actuarial Data Science committee.

Dr Stefan Nörtemann
Mathematician & actuary (DAV) at msg life central europe gmbh in Cologne, Germany. He leads various projects in the context of Risk Management and Insurance Analytics. In addition, he is a lecturer at German Actuarial Academy (DAA) for Computer Science and for Actuarial Data Science and chair of the section Actuarial Data Science of DAV.