As we discussed in the first part of this series, how you handle data outliers can determine whether your big data project ends with a bang or flames out in failure. But before you even decide what to ...

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 ...

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 ...

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 ...

OAKLAND, CA, Oct. 7, 2020 – With its automated business analysis (ABA) platform, Outlier discovers and elevates unexpected changes in consumer behavior, customer demographics and buying patterns. For ...

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 ...

Outlier, a startup with a sound pedigree in network security, is launching an endpoint threat-detection system that sets itself apart from competitors by working without the need for an agent on every ...

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 ...