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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

Summary

In this chapter, we used different visualization capabilities of Kibana to render a dataset and leverage anomaly detection results to either annotate and correlate. This helps analysts who want to see anomaly detection results within the dashboard framework that they are familiar with and use every day.

In the next chapter, Chapter 8, Using Elastic ML with Kibana Canvas, we'll focus on users that don't necessarily want to go through a dashboard and need an infographic style of experience. This is where we'll introduce Canvas, a PowerPoint-like experience in Kibana that's connected to live data stored in Elasticsearch.

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