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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 Installing the Elastic Stack with Machine Learning FREE CHAPTER 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

Elastic ML is a powerful, flexible, yet easy-to-use feature that gives the power of data science to non-data scientists so that they can gain insight into massive amounts of data. Throughout this chapter and this book, there are many different ways that users can take advantage of technology to solve real-world challenges in IT. We hope that you will take the knowledge that you have gained in this book and implement some great use cases of your own. Don't worry about solving all possible problems on day 1; start small, get some tangible wins, and grow your usage as you gain more confidence. Success will breed success!

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