data-driven model

A data-driven model is a system that makes decisions or predictions based on analyzing large amounts of data, rather than relying solely on predefined rules or assumptions. It learns patterns and relationships within the data to understand complex situations. For example, a recommendation system on a streaming platform uses your viewing history to suggest content. These models improve over time as more data is collected, enabling more accurate and personalized outcomes. Essentially, they use data as their primary source of knowledge to automate and optimize decision-making processes across various applications.