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Supervised Machine Learning
Supervised machine learning is a type of ML that requires input data to be labeled. In other words, a dataset must already contain the correct target variable for each observation. Based on these answers, an algorithm can learn how to predict them for new data.
Supervised machine learning includes two typical tasks: classification and regression.
