Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Customer due diligence requirements in 2026: three regulators have rewritten the rulebook, and most

If you ran a bank, a payments firm, or a regulated crypto venue in 2025, your customer due diligence requirements were a ...
IEEE

Customer Segmentation Using Machine Learning

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...
C&EN

Machine-Learning-Based Automated Schlemm’s Canal Volumetric Segmentation for Optical Coherence Tomography

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerous challenges, including the variable anatomy of SC, ...
GitHub

Used Unsupervised Machine Learning using KMeans for user segmentation of mall customers dataset.

There was an error while loading. Please reload this page. This project demonstrates how to build a K-Means clustering algorithm from scratch to segment mall ...
Forbes

How Machine Learning And Satellites Are Transforming Customer Experience

Modern enterprises depend on reliable, fast connectivity to deliver a consistent customer experience. It can make the difference to efficient operations, favorable customer interactions and sustained ...
List of Banks in Belarus

Marketing’s New Frontier: Customer Segmentation and Personalization in the Data-Driven Age

Customer segmentation and personalization have moved from the margins to the center of modern marketing strategy. As businesses rely more heavily on digital channels to engage audiences, the ability ...