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Nov 25: Statistics in Practice

In this week’s Brief, we take a look at the history of betting and how it is entwined with probabilistic decision-making. Probabilistic decision-making is also the focus of our 3-course Optimization Mastery, which covers linear programming, integer programming, simulation and other operations research (O/R) techniques. Start with: Jan 3 – 31: Optimization – Linear Programming See youContinue reading “Nov 25: Statistics in Practice”

Unforeseen Consequences in Data Science

Unforeseen Consequences in Data Science After the massive Exxon Valdez oil spill, states passed laws boosting the liability of tanker companies for future spills.  The result was not as intended: fly-by-night companies, whose bankruptcy would not be consequential, took over the trade. In this blog we look at some notable examples of unforeseen consequences ofContinue reading “Unforeseen Consequences in Data Science”