Machine Learning & Training
What Is Anomaly Detection?
Anomaly detection is the task of identifying data points that deviate significantly from normal patterns. It is used in areas such as fraud detection, network security, and quality control. Techniques range from statistical methods to clustering and specialized machine learning models.
Further reading
Read more about anomaly detection — articles and blogs from around the web: