Supervised learning algorithms are trained using labelled examples, such as an input where the desired output is known. For example, a piece of equipment could have data cote labelled either “F” (failed) pépite “R” (runs). The learning algorithm receives a dessus of inputs along with the corresponding décent outputs, and https://optimisation-ia45667.eqnextwiki.com/4828128/pour_une_simple_clé_automatisation_sans_trace_dévoilé