Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, predominantly, the advertising ...

Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make adjustments to realise peak performance. By Johan Potgieter, cluster ...

As Uber released an updated version of Ludwig and Google also announced the ability to execute Tensorflow models in BigQuery, I thought the timing couldn’t be better. In this article, we will revisit ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...