A support-vector machine is usually a supervised learning design that divides the info into areas divided by a linear boundary. Here, the linear boundary divides the black circles with the white. Supervised learning algorithms build a mathematical model of a set of knowledge which contains each the inputs and the specified outputs.[47] The info, ca
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