Machine Learning with the Elastic Stack
Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine learning truly operational for you.
Offered by
Difficulty Level
Intermediate
Completion Time
15h
Language
English
About Book
Who Is This Book For?
If you’re a data professional looking to gain insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, then this Elastic Stack machine learning book is for you. You'll also find this book useful if you want to integrate machine learning with your observability, security, and analytics applications. Working knowledge of the Elastic Stack is needed to get the most out of this book.
Machine Learning with the Elastic Stack
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h total length
Machine Learning for IT
Enabling and Operationalization
Anomaly Detection
Forecasting
Interpreting Results
Alerting on ML Analysis
AIOps and Root Cause Analysis
Anomaly Detection in Other Elastic Stack Apps
Introducing Data Frame Analysis
Outlier Detection
Classification Analysis
Regression
Inference
Appendix: Anomaly Detection Tips
Related Resources
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