Machine Learning of Dynamic Processes and Time Series Analysis
The aim of the School is to present recent developments in Machine Learning focusing on data-driven approaches to statistical learning and dynamical systems. Applications will also be discussed, such as the forecasting of financial time series.
The School provides 4 lectures by:
- Christa Cuchiero, University of Vienna.
- Lyudmila Grigoryeva, University of Konstanz.
- Juan-Pablo Ortega, University of St. Gallen and CNRS.
- Josef Teichmann, ETH Zurich.
In addition, it provides a limited number of contributed talks