Machine learning differs from traditional data processing in its ability to automatically learn from data without explicit programming. While traditional systems rely on human-defined rules, machine learning uses algorithms to identify patterns, make predictions, and improve over time through experience. This allows for more dynamic and adaptive responses to changing data inputs, making machine learning particularly effective in applications such as image recognition, natural language processing, and predictive analytics. As a result, machine learning enhances the capabilities of data-driven applications significantly.