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This article provides an overview of machine learning and how it can be used to develop applications that can make predictions or decisions based on data. It then goes on to discuss the use of Java and its associated libraries and tools to develop a machine learning application that can predict real estate prices in Seattle depending on parameters such as area, distance from the center, and bedrooms. Finally, it introduces Weka, an open-source software that is widely used for data mining, feature selection, and model evaluation.