Anomaly detection: Difference between revisions
No edit summary |
No edit summary |
||
| Line 4: | Line 4: | ||
Banks use AD to find fraudulent transactions. | Banks use AD to find fraudulent transactions. | ||
== External links == | |||
* [https://www.youtube.com/watch?v=086OcT-5DYI Anomaly Detection Problem] [[w:Andrew Ng|Andrew Ng]] | |||
Revision as of 17:10, 14 April 2020
In machine learning terms, anomaly detection refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints.
Use
Banks use AD to find fraudulent transactions.