Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam.

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

Objective The primary goal is to apply various machine learning algorithms (Naïve Bayes, Support Vector Machines, Logistic Regression, Random Forest, and K-Nearest Neighbors) to address the SMS spam ...

Spam And Phishing Detection Using Machine Learning Overview This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats.

Bespoke fraud ML models are powered by algorithms that learn from historical data, picking up on behaviors and characteristics commonly associated with fraud.