Define Supervised, Unsupervised and Reinforcement learning with a suitable examples of each

Supervised learning is a type of machine learning where the model is trained on a labeled dataset, which means that the input data is paired with corresponding output labels. The goal of supervised learning is for the model to learn a mapping function from the input data to the correct output labels. In other words, the algorithm is provided with a set of input-output pairs, and the algorithm's task is to learn the relationship between them.

Example:

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