Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so. This McKinsey article provides some perspective to those seeking to understand the machine learning tree of Artificial Intelligence (AI).

An executive’s guide to machine learning