Machine Learning

“Machine Learning is a field of study that gives computers the ability to learn without being explicitly programmed.” This definition, often attributed to computer pioneer Arthur L. Samuel, is actually a paraphrase of his work from a 1959 paper, “Some Studies in Machine Learning Using the Game of Checkers” in IBM Journal of Research and Development.

This notion that computers could learn from data and outcomes does hold up as a useful description of Machine Learning today. Samuel correctly predicted, “Programming computers to learn from experience should eventually eliminate the need for much of this detailed programming effort.”