What is Supervision?

Supervision, in the context of machine learning, often refers to the process of training a model using labeled data. This means that each data point in the training set has a corresponding label or target variable that the model learns to predict. Supervised learning algorithms use this labeled data to infer a function that maps input features to output labels. Common use cases include classification (assigning data points to categories) and regression (predicting continuous values).