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...
| Cote: | Libro Electrónico |
|---|---|
| Collectivité auteur: | |
| Format: | Électronique Actes de congrès Vidéo |
| Langue: | Inglés |
| Publié: |
[Place of publication not identified] :
O'Reilly,
2019.
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| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |


