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Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning

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Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time series. On the other hand, when the data is collected at once or irregularly, it is not taken as a time series data.



Log Analytics, Mining & Anomaly Detection with Machine Learning & Deep Learning

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With technologies such as Machine Learning and Deep Neural Networks (DNN). These technologies employ next generation server infrastructure that spans immense Windows and Linux cluster environments.



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