Unsupervised learning, Clusters similar data together, Reinforcement learning, Learns by trial and error, Supervised learning, Needs data that has been pre-processed by a human, Classification, Grouping data together by applying a label, Prediction, Once a model has been fed with data, it will say which class the data belongs to, Class, A category that the data can be assigned to, Label, Applied to a single piece of data, Confidence, A % value to indicate how certain the model is of its prediction.

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