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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 looked at how we can use Canvas to leverage the output of ML to build a customized report so that information can appeal to any audience. With the power of the full flexibility of Elasticsearch (and even the use of Elasticsearch SQL queries), we can make real-time data-driven infographics where your only limit is your creativity.

In the next chapter, Chapter 9, Forecasting, we will delve into the world of forecasting, where we can have ML extrapolate data trends into the future to satisfy a whole new set of use cases.

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