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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

Now that there is an understanding of both the theoretical and practical operation of Elastic's ML, we can now focus our efforts on getting it properly installed and applying it to different use cases. The following chapters will lead us on the journey of solving some real-world problems in IT operations and IT security with Elastic's state-of-the-art automated anomaly detection.

You have been reading a chapter from
Machine Learning with the Elastic Stack
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788477543
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