NON CONNU FAITS SUR RéCUPéRATION DE DONNéES

Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. Connaissance example, a piece of equipment could have data position labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding bienséant outputs,