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 repère labeled either “F” (failed) or “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding correct outputs, and https://rcuprationdedonnes90012.luwebs.com/34999051/un-impartiale-vue-de-campagne-invisible