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This article explores the use of deep learning to enhance the performance of classic machine learning models, such as decision trees, random forests, and linear regression. Deep learning is a machine learning specialization that uses computational models inspired by the human nervous system to learn intricate connections between input and output data. It has been used to achieve state-of-the-art performance in many different fields, including image classification, natural language processing, and speech recognition.