This course will discuss the theory and application of algorithms for machine learning and inference, from an AI perspective. In this context, we consider as learning to draw conclusions from given data or experience which results in some model that generalises these data.
Inference is to compute the desired answers or actions based on the model.
A new and commercially important area of application is data mining, where the algorithms are used to automatically detect intersting information and relations in large commercial or scientific databases. The course intends to give a good understanding of this crossdisciplinary area, with a sufficient depth to use and evaluate the available methods, and to understand the scientific literature. It will be given in Swedish or English depending on the students who attend. Slutbetyg f r kursen finns nu anslaget. I had promised copies of the slides on learning of graphical models but forgot to hand them out in the last lecture.