Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. For example, a piece of equipment could have data centre labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding correct outputs, and https://contactsansmail93692.blogdosaga.com/34190390/obtenir-mon-contact-sans-mail-to-work