Introduction to Probabilistic Machine Learning (2023)

    The course is fully booked! Please sign up at the waiting list. 

    For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, Katrine Søndergaard kes@adm.aau.dk.

Many problems in science and society can be casted as decision problems involving a large 

number of observed and unobserved factors with complex relationships and a high degree of uncertainty. Machine learning has proven to be a powerful tool to model complex relationships between large numbers of variables (e.g., how the pixels of an image of a radiography relate to the diagnosis of some disease). Probabilistic machine learning adds, on top of that, the capacity of uncertainty modelling, which is a crucial aspect in many real-world applications, especially if it involves high-stake decisions. This course provides an introduction to the core methodologies of probabilistic machine learning:  

- probabilistic modelling

- Bayesian inference

- probabilistic programming languages

- variational inference and learning.

Organizer:  Andres Masegosa

Lecturers:    Thomas D. Nielsen, Andres Masegosa

ECTS:            2

Time:            21-22 November 2023, 08:15-16:15

Place:            Fredrik Bajers Vej 7 A, room A4-106

City:               Aalborg

Number of seats:  25

Deadline:       31 October 2023

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.