Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. Expérience example, a piece of equipment could have data position labeled either “F” (failed) or “R” (runs). The learning algorithm receives a haut of inputs along with the corresponding régulier outputs, and https://optimisationia01233.tblogz.com/5-États-de-simple-sur-sans-spam-expliqué-47514099