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As seen in: Built In, Visual Studio Magazine
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Articles

An Intern Battles the Monster App

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By Mark Bowytz, Temp variables
| Visual Studio Magazine Verified
DevDisasters What Martin wanted was to fulfill his internship requirement for his degree and possibly earn a little spending money for his efforts. He got both of these and the experience of meeting "The Monster." During the second to last summer ahead of completing his degree, Martin started his six-month-long internship at a small company that needed assistance in modernizing its enterprise point-of-sale/inventory software. And it wanted to get it done on the cheap.
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Mahalanobis Distance and Multivariate Outlier Detection in R

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By Sergen Cansiz, Temp variables
| Built In Verified
Mahalanobis distance is an effective distance metric that finds the distance between a point and a distribution. It’s quite effective on multivariate data. This is because it uses the covariance between variables in order to find the distance between two points. What Is the Mahalanobis Distance? Mahalanobis distance is a metric used to find the distance between a point and a distribution and is most commonly used on multivariate data.
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