14 Sep 2020
Artificial Neural Networks Basics
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 requirementsPlease check with your IT department if your firewall and computer settings support web session participation (the programme GotoTraining/GotoWebinar is used for the web session). Please also make sure that you are joining the web session with a stable internet connection.
Purpose and Nature
Dr Axel Kaiseris 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 NörtemannMathematician & 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.