Machine Learning - Selected Masterpieces: Artificial Neural Networks Basics
Announcements from the European Actuarial Academy organiser: 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.
In this web session they 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, they implement artificial neural networks in R and Python as examples and apply them to concrete problems.
These 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.
Please check with your IT department if your firewall and computer settings support web session participation (the programme GoToTraining is used for the web session).
Test Session: On September 1st 2020, 8.00 - 8.30 am GMT, there will be a test session offered to all registered participants to test the software.
The registration fee for each webinar is € 100.00 plus 16 % VAT only. You can book each session individually or register for all three sessions with a special discount of 20%.
Topics
- The idea of Machine Learning
- Training & Validation
- Artificial Neural Networks - idea and basics
- Classical versus Resilent Backpropagation
- Feed forward neural networks (FFNSs)
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Final remarks
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 is a 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.