Machine Learning in Finance and 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 building machine learning techniques with the focus on neural networks and the sound application on several practical problems in finance and insurance. Hereby, we introduce how to implement neural networks in Python, with the goal to put the participants in the position to solve any specific problem of interest.