The way through which deep learning and machine learning vary is in how each algorithm learns. "Deep" machine learning can use labeled datasets, often called supervised learning, to tell its algorithm, but it really doesn’t necessarily require a labeled dataset. The deep learning method can ingest unstructured knowledge in its raw kind (e.[1] The