Machine Learning summer school

By | November 8, 2007

The 2008 Machine Learning (ML) summer school is now open for students and researchers who want to register. This is the 10th ML summer school since the first one in 2002. The school will be held at the Australian National University at Kioloa.

Machine Learning is a foundational discipline of the Information Sciences, concerned with the design and development of algorithms and techniques that allow computers to “learn”.

Topics will be covered in 9-10 lectures a 6 hours taught by world experts in their fields. The aim of the summer school is to cover the entire spectrum from theoretical foundations to practical applications. In addition, there will be practical “lab” sessions, where students will have the chance to implement methods for themselves.

This school is suitable for all levels, both for people without previous knowledge in Machine Learning, and those wishing to broaden their expertise in this area. It will allow the participants to get in touch with international experts in this field. Exchange of students, joint publications and joint projects will result because of this collaboration.

Material is directed both at outstanding participants without previous knowledge in machine learning, and at those wishing to broaden their expertise in the area; this includes PhD, Masters, and advanced undergraduate students, postdocs, academics, and IT professionals. The MLSS also provides an excellent opportunity for interaction with top researchers in a broad cross-section of machine learning disciplines.

More information about the 2008 ML summer school here; information about past schools can be found here.