Regression is a fundamental machine learning algorithm technique in artificial intelligence, designed to predict continuous numerical outputs based on a set of input features. As this technique relies on training with a labeled dataset that contains known output values, it falls under the category of supervised learning.
Regression algorithms are widely applied across various industries, such as finance, real estate, and healthcare, to predict future outcomes or trends using historical data. For example, financial institutions can utilize regression to forecast stock prices by analyzing past market data. Similarly, healthcare providers can leverage regression models to predict patient outcomes, taking into account medical history and other relevant factors.