Articles By Rich Collier

28 November 2018 Engineering

Changes to Elastic Machine Learning Anomaly Scoring in 6.5

By Rich CollierEd Savage

Elastic machine learning anomaly scoring has changed in 6.5. Learn how the new scoring relates to the normalization of partitions and multi-bucket anomalies.

11 September 2018 Engineering

Temporal vs. Population Analysis in Elastic Machine Learning

By Rich Collier

Learn the differences between these two types of analysis via a practical use case involving document access and potential information stealing.

05 June 2018 Engineering

Filtering Input Data to Refine Machine Learning Jobs

By Rich CollierDavid Kyle

Optimize your results of your Machine Learning jobs by taking control of which data gets analyzed. Customize the datafeed with filters to get focused results.

18 January 2018 Engineering

Custom Elasticsearch Aggregations for Machine Learning Jobs

By Rich Collier

Leverage the power of complex elasticsearch aggregation queries for your ML jobs. Follow this example of using a derivative aggregation to see how it works.

20 November 2017 Engineering

Machine Learning Anomaly Scoring and Elasticsearch - How it Works

By Rich CollierPete Harverson

A complete breakdown of how machine learning in X-Pack scores anomalies and ranks them automatically on a severity scale from zero to one hundred.

17 July 2017 Engineering

Alerting on Machine Learning Jobs in Elasticsearch v5.5

By Rich Collier

Connecting Machine Learning to X-Pack Alerting for notification of anomalies is now easy in version 5.5