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The way in which deep learning and machine learning differ is in how Every algorithm learns. "Deep" machine learning can use labeled datasets, often known as supervised learning, to inform its algorithm, but it surely doesn’t essentially require a labeled dataset. The deep learning system can ingest unstructured data in its raw form (e.IBM watson