_dsc-webinar-series-accurate-anomaly-detection-with-machine-learning.jpg "DSC Webinar Series: Accurate Anomaly Detection with Machine Learning from anomaly detection time series Video Screenshot Preview")
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⏲ Duration: 36 min 83 sec
✓ Published: 15-Oct-2016
✓ Published: 15-Oct-2016
Description:
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. nnIn this DSC webinar you will learn:nnFun
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. nnIn this DSC webinar you will learn:nnFun
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