NON CONNU FAITS SUR PROSPECTION AUTOMATISéE

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