The intention is to give a brief overview of how to learn from data, which tools to use and which pitfalls to avoid. The goal is not to give a detailed introduction to the theoretical background but to show general application settings. The first half consists of a brief overview of typical machine learning problems, during the second half participants are asked to address a learning problem themselves. Participants are provided with suitable software but are free to use their own favourite applications.