Supervised Learning

Go to [[Week 2 - Introduction]] or back to the [[Main AI Page]]

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]]

📖 stoas

public document at doc.anagora.org/supervised-learning
video call at meet.jit.si/supervised-learning

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⥅ related node [[classification supervised learning]]

⥅ related node [[regression supervised learning]]

⥅ related node [[reinforcement supervised learning]]

⥅ related node [[unsupervised learning]]

⥅ related node [[semi supervised_learning]]

⥅ related node [[unsupervised_machine_learning]]

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