The way in which where deep learning and machine learning differ is in how each algorithm learns. "Deep" machine learning can use labeled datasets, also called supervised learning, to tell its algorithm, but it really doesn’t necessarily demand a labeled dataset. The deep learning course of action can ingest unstructured knowledge in its raw sort