👉 Mathematics, particularly predictive models, uses statistical and computational techniques to forecast future outcomes based on historical data. These models identify patterns and relationships within datasets, employing algorithms like linear regression, decision trees, or neural networks to make predictions. For example, in finance, predictive models can forecast stock prices or credit risk; in healthcare, they might predict disease progression or treatment outcomes. The accuracy of these predictions depends on the quality and quantity of data, the appropriateness of the chosen model, and ongoing refinement to account for new information.
