👩💻 Join our community of thousands of amazing developers!
Posted by Kihyuk Sohn and Chun-Liang Li, Research Scientists, Google Cloud Anomaly detection (sometimes called outlier detection or out-of-distribution detection) is one of the most common machine learning applications across many domains, from defect detection in manufacturing to fraudulent transaction detection in finance. It is most often used when it is easy to collect a large amount of known-normal examples but where anomalous data is rare and difficult to find. As such, one-class classifi...