Anomaly Detection#
Anomaly detection is the process of identifying unusual or unexpected patterns in data. This is typically done by analyzing data that is known to be normal and comparing it to new data to see if it deviates from the expected pattern. Anomaly detection is used in many different fields, such as finance, cybersecurity, and healthcare, to identify potential problems or anomalies in data that may require further investigation. For example, in finance, anomaly detection might be used to identify unusual patterns in financial transactions that could indicate fraud, while in cybersecurity it might be used to identify unusual network activity that could indicate a cyber attack.