Tag: statistical
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Evolution of Network Baselines – From Statistics to Machine Learning
In this blogpost, we talk about the benefits of having accurate baselines, metrics used, systematic approach to baselining the network and how complex networks can use Machine Learning to create dynamic baselines.
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Feature Engineering at the intersection of Network Data and Machine Learning
In this post, we will talk about different features extracted from network data, tasks and techniques of feature engineering, and why feature engineering is essential to the accuracy of the Machine Learning model.
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The Art and Science of Network Anomaly Detection – Part 2
In this post, we will look at different network anomaly detection methods, challenges and implementations of anomaly detection.