What is Supervised Learning?

Supervised learning is a type of artificial intelligence (AI) that uses labeled data sets to train models to recognize patterns and make predictions. Labeled data sets are collections of data that have been labeled with the correct answer or outcome. During supervised learning, the AI model is trained with labeled data sets and then tested on unlabeled data sets to see how accurately it can predict the correct answer or outcome. Supervised learning can be used to solve a wide variety of problems, such as predicting customer churn, detecting fraud, and identifying objects in images.