Since 2002, machine learning has come a long way and is taking center stage in many areas of research. It is a field buzzing with excitement and progress is unprecedented. Although machine learning has, at many institutions, become part of mainstream curricula, MLSS still provides the opportunity to learn from the foremost experts in the field; experts known not only for the excellence of their research but also their enthusiasm to share their knowledge with others. MLSS 2019, as always, provides not only an introduction to the basic ideas behind machine learning, but researchers will also share the excitement of the current developments.

The main goal of the Machine Learning Summer Schools as stated on its website at http://mlss.cc/: The machine learning summer school series started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of researchers want to apply machine learning methods to their research problems, only few machine learning courses are taught at universities. Machine learning summer schools present topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their field who talk with enthusiasm about their subjects.