Publisher > Pluralsight
Title > Traditional Anomaly Detection Methods
Author > Ana Voicu
Modules > 3
Clips > 13
Duration > 01:08:25
Published > 2026-06-25
Released > 2026-06-30
Files > 05*50MB
Language > English
Subtitles > English
Description > Unexpected patterns in data can reveal fraud,
failures, or meaningful change. This course
will teach you how to detect anomalies using
statistical, distance-based, and isolation
methods.
Url > https://www.pluralsight.com/courses/traditiona
l-anomaly-detection-methods
Notes > --