Machine Learning Explained.

Machine learning is a branch of artificial intelligence that focuses on the use of algorithms to make decisions. These algorithms are trained with historical data and based on what they infer from that data, are able to make predictions, classifications, and numerous other decisions, all without being explicitly programmed to do so. While the term machine learning has only recently become a buzzword, it has been around as far back as 1959, when it was coined by Arthur Samuel, a pioneer in the field. One of the earliest applications was in a game of checkers, in which self-proclaimed checkers master, Robert Nealey, lost against a computer on an IBM 7094. From those humble beginnings, technological developments around storage and processing power have enabled more powerful and widespread applications of machine learning, such as Amazon's recommendation engine and Google's self-driving cars.