Short abstract:

Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way, but also the scientific community has many use-cases in which ML/DL are useful, e.g. to discover hidden patterns or replace computationally heavy simulations with data-driven  approaches. The participants will learn how to design ML-models by themselves and will learn about possible pitfalls when applying ML in the real  world.