Introduction to Probabilistic Machine Learning
The Technical Doctoral School of IT and Design at Aalborg University
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.
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