Introduction to Probabilistic Machine Learning 2025

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.

Prerequisites: Basic knowledge in probability theory and machine learning. Basic knowledge of Python. 

Learning objectives: Obtain knowledge and application skills about the use of probabilistic machine learning methods to address real world problems involving complex decision making processes under uncertainty.

Teaching methods: The course will be structured in two consecutive days. Each day will be split into two sessions. Each session will involve and mix between theory and hand-ons exercises.

Criteria for assessment: Students will be asked to build a probabilistic model on a dataset relevant for their PhD project. The probabilistic model should use the elements and methodologies covered in the course.

Key literature: Murphy, Kevin P. Probabilistic machine learning: an introduction. MIT press, 2022. (Link to Book PDF)

Organizer: Andres Masegosa

Lecturers: Andres Masegosa

ECTS: 2.0 

Time: 12 - 13 March 2025. 8.30-16:15

Place: Aalborg University, Niels Jernes Vej 8A room 0.01

Zip code: 9220

City: Aalborg

Maximal number of participants: 30

Deadline: 19 February 2025

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.

For external PhD students: This course is a general course and is prioritised for PhD Students enrolled at Aalborg University. If there are available seats, PhD students from other universities will be accepted. You will be notified shortly after the deadline if you have been accepted.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

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.

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