This is the content of the class Gaussian Processes at Aalto University. It consists of 12 lectures and 6 exercise rounds
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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.
SpringNuance/Gaussian-Processes
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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.
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