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. 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. For further course details click here.
Technical University of Denmark, Building 421 auditorium 73
9AM-5PM every day August 22th-26th, 2016
Lectures will be given by invited speakers and staff at the Section for Cognitive Systems.
Tentative list of speakers
General understanding of machine learning, statistical modeling, mathematics and computer science. For the course you are required to bring your own laptop computer.
Non-parametric Bayesian modeling
Approximative inference and sparsity
Single, multiple, and infinite metric learning
As we anticipate more applicants than we have space for applicants will be selected based on their curriculum vitae (CV). To register please send an email to Wanja Andersen email@example.com with your CV (maximum 2 pages). The CV has to be received no later than 1st of June. We will notify applicants regarding acceptance to the summer school 8th of June.
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.
For practical information regarding transportation and accommodation click here.
2015 version of 02901 Advanced Topics in Machine Learning
2014 version of 02901 Advanced Topics in Machine Learning
For further information, please contact: