Using Deep Learning To Improve The Traditional Machine Learning Performance

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.