In our consulting business, we often work with entrepreneurs facing tough decisions as they grow their businesses. Learning how to approach these decisions with a logical methodology can make the ...

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Dr. James McCaffrey of Microsoft Research says the technique is easy to tune, works well with small datasets and produces highly interpretable predictions, but there are also trade-off cons. The goal ...

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Decision tree analysis is a method of constructing a decision tree, which is a detailed representation of numerous potential solutions that can be utilized to address a specific problem to choose the ...

As businesses increasingly emphasize data-driven decision-making and returns on investment, leaders can find themselves buried in numbers. While key performance indicators and success metrics are ...

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

Over the past several decades, organizations have invested vast resources in data infrastructure to improve decision success, but the results are mixed. A new approach called “decision-back” flips the ...