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It uses historical info as enter to predict new output values. Machine Mastering is made of each supervised Mastering (exactly where the expected output for your input is thought as a result of labeled information sets) and unsupervised Understanding (exactly where the predicted outputs are unidentified as a consequence of using unlabeled info sets