PEU CONNU FAITS SUR PROSPECTION AUTOMATISéE.

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