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Gaussian Processes D


Aalto University


<p>Gaussian processes (GPs) are a powerful machine learning paradigm for Bayesian nonparametric modelling. This course will give an overview of Gaussian processes in machine learning, and it provides both a theoretical and practical background for leveraging them. The course covers Gaussian process regression, classification, and unsupervised modelling, as well as a selection of more recent specialised topics. This is a more specialized course and assumes students already have a background in machine learning.</p>

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Course dates
23 February 2026 - 09 April 2026
Course organizer
Arno Solin
Place/Venue
School of Science / Department of Computer Science
City
Country
Finland
Workload
5
Link
https://mycourses.aalto.fi/course/search.php?...