Onrec

5 Artificial Intelligence Programs for Professionals Selecting the Right Track Across GenAI, Machine Learning, and Data Science in 2026

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software ...
Analytics Insight

How to Become an AI Engineer in 2026: Skills, Projects, and Salary

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
The Decatur Daily

How to Learn Data Science with Python in 2026: The Complete Beginner-to-Job-Ready Roadmap

A large amount of time and resources have been invested in making Python the most suitable first programming language for those getting started with data science. Along with the simplicity ...
IEEE

An ‘Unsupervised’ 3D Image Quality Assessment using Spectral Decompositions of Scene Components

Abstract: We present an unsupervised no-reference (NR) image quality assessment (IQA) algorithm designed to evaluate perceptual quality in natural stereoscopic 3D (S3D) scenes. At the core of our ...
IEEE

Unsupervised Anomaly Detection for Wi-Fi Networks using RFFI

Abstract: Radio Frequency Fingerprinting Identification (RFFI) offers a promising physical-layer approach to detect device impersonation in Wi-Fi networks by exploiting unique hardware-induced signal ...
ahajournals.org

Abstract 4361575: Phenotyping Cardiogenic Shock Using Unsupervised Machine Learning: A Nationwide Cluster Analysis from National Inpatient Sample

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...