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Positives and negatives of machine learning algorithms Determined by your spending plan, need for velocity and precision expected, Every algorithm kind—supervised, unsupervised, semi-supervised, or reinforcement—has its own pros and cons. By way of example, final decision tree algorithms are useful for both of those predicting numerical value