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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

Building Elastic ML Canvas slides

In this section, we are going to build examples of a Canvas slide by showcasing real-time results from an Elastic ML job so that we can showcase the results in a very customized way.

Preparing your data

Before starting our workpad, we need to do some preparation so that we can use ML data in Canvas. We actually just need two things:

  • An Elastic ML job running and producing results
  • An index pattern pointing to the job results data

For the Elastic ML job, I'm going to use a single metric job that analyzes the traffic on a nginx web server by looking at the distinct count of IP interacting with the server.

The following Elastic ML analysis screenshot will give you an idea of the general...

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