Translation: Supervised learning is a type of machine learning in which the training data includes the correct answers, known as labels. The model learns the mathematical relationships between the inputs and the labels so it can predict the most likely label for new, unseen data. Examples include classifying emails as spam or not spam, recognising objects in images such as distinguishing features of cats and dogs, and predicting whether a text review is positive or negative.