Machine learning differs from traditional programming in that it focuses on learning from data rather than following explicit instructions. In traditional programming, a developer writes specific algorithms to solve problems, while machine learning algorithms improve automatically through experience and data exposure. This approach enables machines to identify patterns, make predictions, and adapt to new inputs over time, providing greater flexibility and efficiency in tasks like data analysis and automation.