This course provides an overview of the state-of-the-art in the
areas of pattern recognition and probabilistic inference, and a
thorough understanding of the most successful methods in those
After successful completion of the course, the students are familiar
with stragtegies to solve conceptual and theoretical problems in
machine learning. They have the ability to apply state-of-the-art
algorithms to real-world problems and are familiar with the
advantages and disadvantages of different algorithms.