Machine Learning vs. Deep Learning - DATAVERSITY

The debate on Machine Learning vs. Deep Learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in "learning algorithms," the manner in which Machine Learning (ML) algorithms learn is very different from the learning methods of the Deep Learning (DL) algorithms. While ML directly observes data patterns and establishes correlations, DL algorithms learn progressively from intricate layers of knowledge. DL is considered a subset of ML, where learning happens through a layered network of algorithms commonly known as an Artificial Neural Network (ANN).