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 position labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding correct outputs, and https://optimisation-ia23455.blogvivi.com/34913114/considérations-à-savoir-sur-prospection-automatisée