Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

We’re in the throes of a deadly pandemic, and there’s not much time before everyone’s expected to get back to school. That’s why it’s fortunate that home-learning startup Outlier.org is adding two ...

In my last few articles, I've looked at a number of ways machine learning can help make predictions. The basic idea is that you create a model using existing data and then ask that model to predict an ...

Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and ...

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and ...

Outliers have the potential to skew analysis when they aren’t properly accounted for. Addressing outliers, specifically in trade cost analysis (TCA) data, is crucial for traders because it ensures the ...

Outlier is the third journalism service MuckRock has adopted in the past few years, and the two groups’ incumbent leaders Sarah Alvarez and Michael Morisy plan to help address more information needs ...