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Pros and cons of machine learning algorithms Determined by your funds, have to have for velocity and precision necessary, Just about every algorithm style—supervised, unsupervised, semi-supervised, or reinforcement—has its individual positives and negatives. For instance, decision tree algorithms are used for both equally predicting numerical