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I'm willing to learn about Gaussian process (I've a special interest in Gaussian Process for classification).

Do you know some resources from which I can learn (aside of "Gaussian Processes for Machine Learning" book)?

I've a basic knowledge of calculus and probability.

Thank you very much

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Chapter 6.4 of Bishop's PRML book explains Gaussian Processes for regression and classification. In addition, Murphy's ML book discusses GP latent variable models and connections with other methods. The web-site (http://www.gaussianprocess.org/) accompanying the GP book has additional implementation resources.

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I read scikit Dokumentation in order to learn first concepts. scikit-lean GP

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