Machine Learning DD2431
Welcome to this course in Machine Learning, DD2431, Oct-Dec 2007.
How can a computer program automatically improve its behavior based on previous experience? Such questions often come up when designing game-playing programs, but also in robotics or when designing adaptive man-machine interfaces. The subject touches on artificial intelligence, statistics, information theory, biology and control theory. The goal of this course is go give basic knowledge about the theories and algorithms commonly used in the area.
In "Mina Sidor", your result on the exam will only show up as a "P" (Pass) or "F" (Fail). This is due to an error in the system that we are probably not authorized to correct. The correct grade will show up as the final grade for the course once all your labs are finished and reported.
The results from the written examination on Dec 20 are ready. You can see your result via the res command. The result Fx means that you made errors on the A section but may still pass the exam after a small extra examination ("komplettering"). Contact Örjan for a suitable time.
Teaching is in the form of lectures plus instructions in connection with the lab assignments. All lectures are in English.
Slides from the lectures
You do not have to register separately for the written exam.
Last years exam is available here: