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It uses historic data as enter to predict new output values. Device learning is made of both of those supervised Understanding (in which the predicted output for that enter is understood because of labeled details sets) and unsupervised Understanding (in which the predicted outputs are not known due to the use of unlabeled details sets).Artificial
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