Deep learning for time series data
"Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. The first step uses anomaly detection algorithms to discover anomalies in a time series in the training data. In the second, multip...
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| Otros Autores: | , |
| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly
2019.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822781606719 |
