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This is the content of the class Gaussian Processes at Aalto University. It consists of 12 lectures and 6 exercise rounds
Round 1
Round 2
Round 3
Round 4
Round 5
Round 6
About
The course covers overview of Gaussian processes in machine learning, and provides both a theoretical and practical background for leveraging them. Specifically, it covers Gaussian process regression, classification, unsupervised modelling, as well as a selection of more recent specialized topics.