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It uses historical information as input to predict new output values. Device Mastering includes both supervised learning (in which the predicted output for that input is understood due to labeled knowledge sets) and unsupervised learning (in which the anticipated outputs are unfamiliar due to the use of unlabeled information sets).Our specialized p