January 2019
Intermediate to advanced
304 pages
6h 57m
English
Overview
Machine Learning with the Elastic Stack introduces you to the machine learning features integrated directly into the Elastic ecosystem. By following practical examples and use cases, you will learn how to perform anomaly detection and enhance your data search and analytics in the Elastic Stack environment.
What this Book will help me do
- Install and set up Elastic Stack to use its machine learning capabilities with ease.
- Understand and implement anomaly detection for IT operations, security analytics, and more.
- Optimize dashboards, views, and alerts leveraging Elastic machine learning insights.
- Create and combine anomaly detection jobs for comprehensive infrastructure monitoring.
- Utilize various tips and strategies to maximize the efficiency of Elastic machine learning jobs.
Author(s)
Rich Collier and Bahaaldine Azarmi bring their extensive expertise in machine learning and distributed analytics to this book. Rich is an expert in Elastic Stack applications, and Bahaaldine has significant experience integrating advanced technologies for data solutions. Together, their approachable writing style and deep technical knowledge make this book an invaluable resource.
Who is it for?
This book is ideal for data professionals working in IT or analytics with a solid understanding of the Elastic Stack who are looking to extend its capabilities using machine learning. Readers who want to analyze search or log data effectively and gain insights using anomaly detection features will greatly benefit. Aimed at professionals seeking practical, applicable knowledge, this book provides a direct route to better analytics with Elasticsearch.
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