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Tuesday, June 30, 2015

An Executive's Guide to Machine Learning

We did machine learning at Procter & Gamble starting in the mid 80s, and they continue today. This is a nice mostly non tech overview for execs I could have used most any of those years,  with anyone interested in learning.  via Kirk Borne, piece is from McKinsey.

An executive’s guide to machine learning
It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix ... 

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 and complexity of the big data that the world is now swimming in have increased the potential of machine learning—and the need for it. .... " 

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