A machine learning model refers to an algorithm that has been trained on data to make predictions or decisions without explicit programming. In data science, these models analyze patterns and correlations in datasets, enabling them to recognize trends and make informed predictions. Common examples include regression models, decision trees, and neural networks. Machine learning models are foundational to applications in diverse fields, such as finance, healthcare, and marketing, as they enhance decision-making through data-driven insights.