Supervised learning is a type of machine learning algorithm where the system is trained using labeled data. Labeled data means that each data point is associated with a known output value or label. The goal of supervised learning is to learn a mapping function from input variables (features) to output variables (labels), based on the training data.
Machine learning algorithms
Machine learning algorithms are computer programs that enable machines to learn from data and make predictions or decisions based on that learning. There are various types of machine learning algorithms, including: