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Introduction to Probabilistic Machine Learning

March 11 - March 12

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.

For additional information, updates, and registration, please refer to AAU PhDMoodle via the link provided on the right side of this page.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
2.0