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Machine Learning with the Elastic Stack - Second Edition

You're reading from Machine Learning with the Elastic Stack - Second Edition

Product type Book

Published in May 2021

Publisher Packt

ISBN-13 9781801070034

Pages 450 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Authors (3):

Rich Collier

Camilla Montonen

Bahaaldine Azarmi

View More author details

Table of Contents (19) Chapters

Preface

Section 1 – Getting Started with Machine Learning with Elastic Stack

Chapter 1: Machine Learning for IT

Chapter 2: Enabling and Operationalization

Section 2 – Time Series Analysis – Anomaly Detection and Forecasting

Chapter 3: Anomaly Detection

Chapter 4: Forecasting

Chapter 5: Interpreting Results

Chapter 6: Alerting on ML Analysis

Chapter 7: AIOps and Root Cause Analysis

Chapter 8: Anomaly Detection in Other Elastic Stack Apps

Section 3 – Data Frame Analysis

Chapter 9: Introducing Data Frame Analytics

Chapter 10: Outlier Detection

Chapter 11: Classification Analysis

Chapter 12: Regression

Chapter 13: Inference

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Appendix: Anomaly Detection Tips

Technical requirements

The material in this chapter requires Elasticsearch 7.9+. The examples have been tested using Elasticsearch version 7.10.1, but should work on any version of Elasticsearch later than 7.9. Please note that running the examples in this chapter requires a Platinum license. In case a particular example or section requires a later version of Elasticsearch, this will be mentioned in the text.

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Authors (3)

Rich Collier

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.

See other products by Rich Collier

Camilla Montonen

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.

See other products by Camilla Montonen

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.

See other products by Bahaaldine Azarmi

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