LFU:online

Advanced understanding of current topics in perception, interaction and robotics; acquisition of the ability to independently educate themselves in the field.

How can we design learning software systems that adjust their parameters according to example data, continually optimize their own performance, and/or automatically adapt to changing contexts? This course conveys knowledge of advanced techniques and competences in the formulation and solution of problems of machine learning.

The VU conveys theoretical concepts that are solidified in exercises and programming projects. A few class sessions will feature student presentations on selected topics/papers in machine learning.

Programming projects; presentations

Basic prior competences in machine learning (as taught in our Bachelor-level ML course 703075/703076) and in mathematics will be helpful.