You're reading from Machine Learning with the Elastic Stack - Second Edition

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801070034

Edition2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Rich Collier

Camilla Montonen

Bahaaldine Azarmi

View More author details

Summary

Elastic ML's anomaly detection and forecasting analytics creates wonderful and meaningful results that are explorable via the rich UI that is provided in Kibana, or programmatically via direct querying of the results indices and the API. Understanding the results of your anomaly detection and forecasting jobs and being able to appropriately leverage that information for further custom visualizations or alerts makes those custom assets even more powerful.

In the next chapter, we'll leverage the results to create sophisticated and useful proactive alerts to further increase the operational value of Elastic ML.

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Machine Learning with the Elastic Stack - Second Edition

Published in: May 2021Publisher: PacktISBN-13: 9781801070034

Authors (3)

Rich Collier

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.
Read more about Rich Collier

Camilla Montonen

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.
Read more about Camilla Montonen

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

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