Explain the role of data in Machine Learning.

Data refers to raw facts or inputs used in machine learning. Machines are trained using this data to identify patterns and relationships. It is processed into meaningful information that helps in making decisions, predictions, and classifications. The quality and quantity of data directly affect the accuracy and performance of the model.