The 4th MLSS at Tübingen welcomes more than 110 participants, bringing together 35 nationalities from 19 different countries.
The machine learning summer school series (MLSS) was started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It is 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.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems