Deep learning can be called a subset of machine learning, where the system mimics human attributes in knowledge acquisition. It plays a vital role in data science with dependencies on predictive modeling with years of research behind it. Its applications are varied but not limited to computer vision, signal processing, medical diagnosis, and self-driving cars. The modern-day computing power has led to this rise in deep learning systems.

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