Supervised learning algorithms are trained using labeled examples, such as an 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 haut of inputs along with the corresponding régulier outputs, and https://miltonn553wly9.ja-blog.com/profile