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Semi-supervised machine learning works by using the two unlabeled and labeled data sets to educate algorithms. Usually, through semi-supervised machine learning, algorithms are first fed a small volume of labeled data to help direct their development then fed much bigger portions of unlabeled data to complete the design.Summarizes the current point