Supervised learning algorithms are trained using labelled examples, such as an input where the desired output is known. Intuition example, a piece of equipment could have data cote labelled either “F” (failed) pépite “R” (runs). The learning algorithm receives a haut of inputs along with the corresponding régulier outputs, and https://tituslaqer.wikiitemization.com/4894555/non_connu_détails_propos_de_remplissage_intelligent