Definition
Regression is a supervised machine learning technique used to predict a continuous numerical value based on input features. It works by analyzing historical data to identify patterns and relationships between independent variables and a dependent variable, then using this learned model to forecast future outcomes. Understanding regression is crucial for data scientists and AI engineers to build predictive models that drive business decisions and automate processes. For instance, regression can forecast housing prices based on factors like square footage, location, and number of bedrooms. It differs from classification, which predicts discrete categories rather than continuous values. This concept is relevant for professionals pursuing AI and data science certifications, particularly those focusing on machine learning applications.