12 Nov 2021
Practical Machine Learning Applications in Finance & Insurance
Artificial intelligence is currently on everybody’s lips and seems to be vital for industry to be successful at the market. Researchers and practitioners are learning the basic techniques of machine learning to develop new products and improve analyses including forecasting, among others. We are highly interested in improving processes and applications in companies, in particular to make better decisions and developing high-end products. More and more researchers from different disciplines use deep learning techniques to understand and explain phenomena and relationships better. This web session aims at introducing and building machine learning techniques with the focus on regression and classification problems. We consider the sound application on several practical problems in finance and insurance. Hereby, we introduce how to implement machine learning techniques in Python and execute some group work, with the goal to put the participants in the position to solve any specific problem of interest.
Organised by the EAA - European Actuarial Academy GmbH.
The web session is open to all interested persons. In particular, this session is not limited to actuaries: Practitioners working in (financial) industry as well as students and researchers with quantitative background are welcome to join.
Technical requirements and test sessionPlease check with your IT department if your firewall and computer settings support web session participations (the programme Zoom is used for this online training). Please also make sure that you are joining the web session with a stable internet connection.In case you want to run and adapt the provided Python code, please install an Python environment; Jupyter notebooks will be sent out for testing purposes in advance.
Purpose and Nature