Because of its wide array of applications, mastering anomaly detection in the age of AI is incredibly valuable.
This guidebook offers a practical, step-by-step look for both business and technical profiles at what it takes to develop an anomaly detection use case.
A breakdown of the types of anomalies and anomaly detection use cases
A step-by-step guide to running an anomaly detection project, both from a business and a technical perspective
A walkthrough of an example fraud detection case, including code samples