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InHenkel Data & Analytics BlogbyHenkel Data & AnalyticsBayesian Optimisation on mixed domainsBy Ilya Komarov.Sep 26
InThe Quantastic JournalbyYuki ShizuyaMathematical understanding of Gaussian ProcessDetailed explanation of mathematical background of Gaussian process with necessary concepts and visualizationJun 244
Andrea RuglioniAll you need for Gaussian processesDiscussing their mathematical foundations and practical applications, through GPyTorch code and examples.Jul 161
InAI Mindbyshashank JainUnderstanding Gaussian Processes: From Theory to Stock Price PredictionPart 1: Introduction to Gaussian ProcessesSep 3
InTowards Data SciencebyTheo WolfGaussian Processes from ScratchGain a deeper understanding of Gaussian processes by implementing them with only NumPyJan 64
InData Science at MicrosoftbyKaixin WangIntroduction to Gaussian process regression, Part 1: The basicsGaussian process (GP) is a supervised learning method used to solve regression and probabilistic classification problems.¹ It has the term…Oct 4, 2022
Andrea RuglioniDeep kernel learning, the best of both worldsDeep Kernel Learning (DKL), or deep Gaussian process, combines deep neural networks with Gaussian Processes to model complex data patterns…Jul 17
Andrea RuglioniMulti-task Gaussian processesLearn how to model multiple correlated outputs using Gaussian processes, through the intrinsic model of coregionalization (ICM) and the…Jul 17