NOT KNOWN FACTUAL STATEMENTS ABOUT MACHINE LEARNING

Semi-supervised machine learning works by using both equally unlabeled and labeled data sets to train algorithms. Generally, through semi-supervised machine learning, algorithms are first fed a small volume of labeled information that will help direct their development after which fed much larger quantities of unlabeled data to complete the model.A