AUTHOR

Articles by Michael Hirsch

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Using Elastic machine learning rare analysis to hunt for the unusual

Learn how Elastic machine learning can be used to easily build a model of your data and apply anomaly detection algorithms to detect what is rare/unusual in the data.

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Benchmarking binary classification results in Elastic machine learning

How does the binary classification in Elastic machine learning stack up against other algorithms? See how our modeling performs against a suite of open datasets used for benchmarking.

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Benchmarking outlier detection results in Elastic machine learning

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Analysing Linux auditd anomalies with Auditbeat and machine learning

Learn how to configure and use the machine learning module for Auditbeat to find anomalous kernal and Docker processes in your Linux auditd data.

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Anonymize-It: The General Purpose Tool for Data Privacy Used by the Elastic Machine Learning Team

Anonymize-it is a tool Elastic uses to mask, suppress, and generalize personally identifiable information. See how you can make it part of your workflow.