Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Data scientists use dimensionality reduction in machine learning models to remove irrelevant features from busy datasets.

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand.

The technology that turns petabytes of data into useful features that machine learning models can use already works on Azure.

Road features that predict crash sites identified in new machine-learning model The study used data collected from 9,300 miles of road Date: February 13, 2024 Source: University of Massachusetts ...

Using machine-learning tools, the scientists then identified important features to characterize these materials. They confirmed the importance of certain features, such as the distances between ...

Oracle is adding new machine learning features to its data analytics cloud service MySQL HeatWave. MySQL HeatWave combines OLAP (online analytical processing), OLTP (online transaction processing ...

On Wednesday, $47 billion software giant Atlassian announced new machine learning capabilities for its products, marking its first major "smart" feature launch. These new features can help users ...