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* Draft article on coffee anomalies * Apply grammarly * Handle reviews and suggestions * add training schema image * anomalies detection solutions image * upd image * upd article * upd preview * Add agit add . * Add author * removed an article width, we already have an updated template for articles * fixed separator * Update detecting-coffee-anomalies.md Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: trean <trean.mi@gmail.com>
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| title | icon | tabid | image | image_caption | default_link | default_link_name | weight | short_description |
|---|---|---|---|---|---|---|---|---|
| Anomalies Detection | bot | anomalies | /content/images/anomalies_detection.png | Automated FAQ | /articles/detecting-coffee-anomalies/ | 60 | Anomaly detection is one of the non-obvious applications of Metric Learning. However, Metric Learning has a number of properties that make it an excellent way to approach anomaly detection. Check out our [case-study](/articles/detecting-coffee-anomalies/)! |