How Hyper-personalization in Retail Works: Architecture and Implementation

Learn how hyper-personalization in retail works, why IT leaders must build real-time, data-driven systems, and how to implement scalable architectures with measurable outcomes.
GitHub

Block or report 201417110122

This repository contains the official source code for EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision [BraTS SSA 2025, MICCAI … ...
IEEE

Machine Learning-based Customer Segmentation with Optimal Cluster Selection

In Algorithms for Machine Learning Before applying modern clustering algorithms, data was analyzed using rulebased grouping, eye scanning, manual computation of distances, and hierarchical sorting, ...
TMCnet

Chainguard Customers Have 94% Python Ecosystem Coverage for Their Environments

Engineering teams are increasingly relying on AI coding tools to build software, with 4% of all GitHub commits now being authored by Claude Code. These tools are trained on open source ecosystems such ...
IEEE

Customer Segmentation Using RFM Analysis and Unsupervised Machine Learning: A Data-Driven Framework for Strategic Marketing

Abstract: In the highly competitive e-commerce landscape, personalized marketing strategies have become vital for customer retention and profitability. This study presents a comprehensive, data-driven ...
GitHub

Segmentation fault on shutdown when using Python backend metrics

When shutting down the Triton Inference Server with Python backend while using Triton metrics, a segmentation fault occurs in python_backend process. This happens because Metric::Clear attempts to ...