This paper reviews studies that combine machine learning (ML) with argumentation, a way to use logic and reasoning to make decisions. The authors found two main ways that these fields are being combined. The first is using argumentation to improve or explain ML models. For example, researchers are using argumentation to help ML models make better predictions, especially when the data is complex or has exceptions. Argumentation is also being used to explain how ML models make their decisions, which is important for building trust and understanding how these models work. The second way is using ML to support argumentation. For example, ML is being used to automatically build argumentation frameworks, which are sets of arguments and their relationships ...