DSC Webinar Series: Accurate Anomaly Detection with Machine Learning from anomaly detection time series Watch Video
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⏲ Duration: 36 min 83 sec ✓ 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
Play Video: (Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)