Course detail

Welcome to Introduction to Probabilistic Machine Learning

Description:

Machine learning (ML) and artificial intelligence have had major impacts on all areas of society and across research disciplines. Probabilistic ML provides a principled approach, based on probabilistic methods, to develop intelligent systems that make optimal decisions under uncertainty. Many problems in science can be casted as decision problems under uncertainty. In consequence, Probabilistic ML allows the application of powerful ML techniques to a wide range of problems in many relevant fields. Knowledge and experience with these types of techniques are therefore important, not only for researchers in machine learning and computer science, but also for researchers across disciplines as made evident by the recently established AI for the people centre at AAU.

Organizer: Andres Masegosa

Lecturers: Andres Masegosa, Thomas D. Nielsen

ECTS: 2

Time: 11, 12 March 2026

Place: TBA

City: Aalborg

Number of seats: 30

Deadline: 18 February 2026

Important information concerning PhD courses:

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

 We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.