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 ...

The problem of identifying outliers has two important aspects: the choice of outlier measures and the method to assess the degree of outlyingness (norming) of those measures. Several classes of ...

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 ...

After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft Research now uses a full code sample and step-by-step directions ...

Traditionally, companies have gathered data from a variety of sources, then used spreadsheets and dashboards to try and make sense of it all. Outlier wants to change that and deliver a handful of ...

Machine learning algorithms aren't just technological novelties relegated to tasks like picking out faces in crowded places. In the enterprise, they can surface patterns and relationships that would ...