The 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 centered around cognitive systems, which integrate information processing in human brains and computers for collaborative problem solving. This involves representations and processes involved in thinking and decision making such as prediction, planning, interpretation, and interaction with humans and other cognitive systems.
The course (2.5 ECTS point) is passed by handing in a small report on one of the topics covered in the course maybe evaluated on our own problesm or data. 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. For further course details click here.
Technical University of Denmark, Building 324 auditorium 060
9AM-5PM every day August 28th-September 1st, 2017
Lectures will be given by invited speakers and staff at the Section for Cognitive Systems.
General understanding of machine learning, statistical modeling, mathematics and computer science. For the course you are required to bring your own laptop computer.
For academics (masters and PhD students) there is no registration fee for the course. For all other participants a course fee of DKK 8250 will be charged. Participants are to cover all other costs such as food, accommodation, and travel expenses. One course dinner is included in the registration.
For practical information regarding transportation and accommodation click here.
2016 version of 02901 Advanced Topics in Machine Learning
2015 version of 02901 Advanced Topics in Machine Learning
2014 version of 02901 Advanced Topics in Machine Learning
For further information, please contact: