Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices. What tools does Azure Machine Learning offer ...

Lenders who utilize machine learning-based automations through LPA save money, have shorter cycle times and have greater customer satisfaction, according to a recent analysis. A fully digitized ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Innovations in chip design, network architecture ... These were then input to machine-learning algorithms. Watson came up with its own method for using the data to reach the most statistically ...

This research explores the effectiveness of cyberbullying detection using advanced graph-based machine learning techniques, specifically Graph Convolutional Networks (GCN) and Graph Attention Networks ...

We propose the CBSA (Cyberbullying with Sentiment Analysis) model, which leverages a range of features to enhance cyberbullying detection.