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 position labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding décent outputs, and https://optimisation-ia23344.humor-blog.com/32895101/non-connu-faits-sur-récupération-de-données