After previously detailing how to examine data ... one way to find outliers is to compute frequency counts. This article assumes you have intermediate or better skill with a C-family programming ...

One of the most important tasks from large data sets is to find an outlier, which is defined as a sample or event that is very inconsistent with the rest of the data set. The observation point or ...

But as you've also seen, machine learning can be used to "cluster" data—that is, to find patterns ... a data set that contains only good data, and you're trying to determine whether new observations ...

The Data Science Lab Data Prep for Machine Learning: Outliers After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft ...