Tag Archives: h2o

Anomaly Detection using Deep Auto-Encoders

One of the determinants for a good anomaly detector is finding smart data representations that can easily evince deviations from the normal distribution. Traditional supervised approaches would require a strong assumption about what is normal and what not plus a … Continue reading

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