Читать книгу Cognitive Engineering for Next Generation Computing - Группа авторов - Страница 36

 The goal of training is to learn from data and use it to predict unseen data. For example in Linear, the regression algorithm would need to learn values for m (or W) and b (x is input, y is output)

 In each iteration of the process, the model trains and improves its efficiency.