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 ...

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 ...

Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

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 ...

Forbes contributors publish independent expert analyses and insights. Kian Bakhtiari writes about Gen-Z marketing and social impact. James Spangler invented the portable vacuum cleaner out of ...

A data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...