Supervised Learning

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This is where you have pre-labelled or pre-meta-data-affixed data and train the model with it so that it learns on a training set, then when fed future examples, it can lable those examples with a certain level of confidence.

Image recognition and NLP are good examples of this.

Supervised learning requires [[Training your model]]