Space is limited.
Achieving accurate anomaly detection requires more than statistics. Simple assumptions like normal distribution do not work in the real world. Time series data – representing anything from customer acquisition, to application performance, to manufacturing KPIs – tend to have many different behaviors that need to be modeled accurately. These include seasonal patterns, non-stationary behaviors, and intricate correlations between signals, among others.
In this DSC webinar you will learn:
Speaker: Ira Cohen, Chief Data Scientist -- Anodot
Again, Space is limited so please register early:
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