Machine Learning with the Elastic Stack
โ Rich Collier
๐ Library
๐
2019
๐ Packt Publishing
๐ English
โฆ LIBER โฆ
๐
Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics
โ Scribed by Collier, Rich;Azarmi, Bahaaldine
- Publisher
- Packt Publishing
- Year
- 2018;2019
- Tongue
- English
- Leaves
- 304
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
Leverage Elastic Stack's machine learning features to gain valuable insight from your data
Key Features
Book Description
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.
As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the...
โฆ Table of Contents
Table of ContentsMachine Learning for ITInstalling the Elastic Stack with Machine LearningEvent Change DetectionIT Operational Analytics and Root Cause AnalysisSecurity Analytics with Elastic Machine LearningAlerting on ML AnalysisUsing Elastic ML data in Kibana dashboardsUsing Elastic ML with Kibana CanvasForecastingML Tips and Tricks
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