Machine Learning

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. The unmanageable volume of complexity of the big data that the world is now swimming in have increased the potential of machine lerning - and the need for it.

Hat tip ~ Dorian Pyle and Christina San Jose, An executive's guide to machine learning
McKinsey Quarterly, June 2015

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