Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

For astronomers studying dark matter, the Bullet Cluster is one of the greatest laboratories in the universe. It was discovered almost by accident, a blip of x-rays in the sky that was detected by ...

Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...

Microsoft has resolved a known issue that triggers Cluster service and VM restart issues after installing July's Windows Server 2019 security updates. The company acknowledged the bug in a private ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

Abstract: Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis. However, existing FCM variants still encounter key limitations: a large number ...

Cluster computing is a method of setting up multiple computers so they can work together like a single system. Some cluster systems are massive machines that take up space in data centers. Others are ...