Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
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In KDNuggets. Good piece on Bayesian learning. Comparison made to frequentist statistical reasoning. Could have used this some time ago to explain the idea to some colleagues. Still technical, but links well to real world problems and related software solutions.
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