Anomaly-Detection with Transformers Machine Learning Architecture
Anomaly Detection Anomaly Detection refers to the problem of finding anomalies in (usually) large datasets. Often, we are dealing with time-dependent or at least sequential data, originating, for example, from logs of a software or sensor values of a machine or