Machine learning differs from traditional programming by utilizing algorithms that enable systems to learn from data and improve their performance over time without explicit programming. Traditional programming relies on predefined rules and logic, while machine learning models can adapt based on new input, making them more flexible in identifying patterns and making predictions.