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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| Corporate Author: | |
|---|---|
| Format: | Electronic Conference Proceeding Video |
| Language: | English |
| Published: |
[Place of publication not identified] :
O'Reilly,
2019.
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| Subjects: | |
| Online Access: | CONNECT |
