Advanced Topics in Machine Learning (Ph.D. Summer School) Summer School

he course consists of five days (Mon-Friday) of lectures and exercises on key topics in machine learning. This years summer school will focus on several different advanced topics within machine learning. The course (2.5 ects point) is passed by handing in a small report on one of the topics covered in the course on deep learning. The exercises cover both theoretical, technical programming and application aspects. It will be up to the students to decide on what aspects to focus on in the report. Specific machine learning application examples are used throughout the entire week.