Machine learning differs from traditional programming methods by emphasizing the ability of systems to learn from data rather than relying solely on explicit programming. In traditional programming, developers write specific instructions for every action. In contrast, machine learning algorithms use statistical methods to identify patterns within data, improving their performance over time through experience. This self-learning capability enables machines to make predictions and decisions based on past data, leading to more efficient solution creation and automation.