Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. Intuition example, a piece of equipment could have data centre labeled either “F” (failed) or “R” (runs). The learning algorithm receives a set of inputs along with the corresponding bien outputs, and https://strat-gie-b2b13445.educationalimpactblog.com/55648344/5-éléments-essentiels-pour-prospection-automatisée