Positives and negatives of machine learning algorithms Depending on your price range, need for pace and precision needed, each algorithm kind—supervised, unsupervised, semi-supervised, or reinforcement—has its own advantages and drawbacks. As an example, conclusion tree algorithms are employed for both equally predicting numerical values (reg