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