Those stories refer to supervised learning, the more popular category of machine learning algorithms. Supervised machine learning applies to situations where you know the outcome of your input data.

In the case of anomaly detection, a supervised machine learning model can only be trained on "normal" data — i.e., on data describing the system operating in "normal" conditions.

Artificial intelligence (AI) and machine learning (ML) are transforming our world. When it comes to these concepts there are important differences between supervised and unsupervised learning ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from ...