Supervised Learning Algorithms

 Introduction Supervised learning algorithms are, roughly speaking, learning algorithms that learn to associate some input with some output, given a training set of samples of inputs x and outputs y. In different cases, the outputs y could also be difficult to gather automatically and must be provided by a person’s “supervisor,” but the term still applies even when the training set targets were […]

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