UNDERSTANDING MACHINE LEARNING VS. DEEP LEARNING
Keywords:
Machine Learning, Deep Learning, Artificial Intelligence, Neural Networks, Data Science, AlgorithmsAbstract
Machine Learning (ML) and Deep Learning (DL) are transformative technologies shaping modern AI applications. While they share foundational concepts, their approaches, applications, and computational requirements differ significantly. This article explores the distinctions between ML and DL, delving into their methodologies, use cases, advantages, and limitations. By understanding these differences, researchers and practitioners can make informed decisions in selecting the appropriate approach for their problems.
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