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Machine Learning Summer School

August 20-31, 2007, Max Planck Campus, Tübingen, Germany

Machine Learning is a foundational discipline of the Information Sciences. It combines theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technology with many practical and relevant real life applications. The aim of the summer school is to cover the entire spectrum from theory to practice. It is mainly targeted at research students, academics, and IT professionals from all over the world.

The program will feature introductory courses at the beginning to provide basic working knowledge of Machine Learning. Building on this  introductory material, advanced topics will be covered progressively over the duration of the school. Subjects will be covered both in lectures (4-6 per topic) and in practical courses (where students will have the chance to implement methods for themselves); and are taught by world experts in their fields.

This school is suited to PhD and Masters students, as well as advanced undergraduates. Material is directed both at participants without previous knowledge in Machine Learning, and at those wishing to broaden their expertise in this area. The MLSS also provides an excellent opportunity for interaction with top researchers in a broad cross-section of machine learning disciplines.

  • For a research student, the summer school provides a unique, high-quality, and intensive period of study. It is ideally suited for students currently pursuing, or intending to pursue, research in Machine Learning or related fields. Limited scholarships are available for students to cover accommodation and registration costs, and to provide travel support.
  • For academics, the summer school is an excellent opportunity to help getting started in research on novel topics in Machine Learning. It provides an ideal forum for networking and discussions.
  • IT professionals who use Machine Learning will find that the summer school provides relevant knowledge and exposure to contemporary techniques. In addition, they will benefit by direct interaction with top-notch researchers and knowledge workers.

 

The summer school will take place on the campus of the Max Planck Institute for Biological Cybernetics in Tübingen, a picturesque 15th century university town in the south of Germany. Courses are scheduled such that attendees will have time to explore the town and surrounding countryside, and to provide time for discussions outside of the lectures.

There will be 80 student and academic places available at the summer school. In past years, there have been many more applicants than could be accepted, so attendance is highly competitive. Further detail on the application procedure may be found here.

 

Organizers

This summer school is organized by Arthur Gretton, Gunnar Rätsch, Bernhard Schölkopf, and Florian Steinke, at the Department of Empirical Inference of the Max-Planck-Institute for Biological Cybernetics and the Friedrich Miescher Laboratory in Tübingen, Germany.

Additional Material

More information about the summer school including the slides of the lectures can be found on the local wiki. All lectures were recorded and are available online at videolecture.net.

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