InfoWorld

Getting started with GitHub Copilot in Visual Studio or VS Code

Learn how to use GitHub Copilot to generate code, optimize code, fix bugs, and create unit tests, right from within your IDE ...

What interests you?

Disclaimer: This column is merely a guiding voice and provides advice and suggestions on education and careers. The writer is a practising counsellor and a trainer. Send your questions to ...
IEEE

Identifying Key Predictors of Students’ Competency Achievement Using Machine Learning Models: A Bioengineering Case Study

Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...
GitHub

Rapid Miner - Data Science and Machine Learning Software

Discover rapid miner for advanced data analytics and machine learning. This powerful rapidminer software streamlines predictive modeling. The core strength of this rapidminer software lies in its ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...