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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

Using Elastic ML with Kibana Canvas

In the previous chapter, Chapter 7, Using Elastic ML Data in Kibana Dashboards, we saw how we can leverage Kibana visualizations to create dashboard analytics that are enhanced with Elastic ML results. In this way, users can detect at a glance where the anomalies sit in their data. Dashboards are great to present a set of KPIs in separate visualizations, all linked together through the filters users picked through their navigation. Going further, users often express the need to customize the look and feel of their reports. While standard Kibana dashboards do not offer that, Kibana Canvas, on the other hand, gives the user the flexibility to create fully custom, pixel-perfect reports that are powered by dynamic data.

Canvas is a workspace to build presentations, slides, or infographics out of live data. You can compose, extend, and customize...

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