The machine learning summer school (MLSS) series was started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It was motivated by the observation that 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. Machine learning summer schools present topics that are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their fields who talk with enthusiasm about their subjects.
August 2-20, 2021 (Except Weekends)