MACHINE LEARNING WITH THE ELASTIC STACK
(2019)

Nonfiction

eBook

Provider: hoopla

Details

PUBLISHED
[United States] : Packt Publishing, 2019
Made available through hoopla
DESCRIPTION

1 online resource

ISBN/ISSN
9781788471770 MWT13569147, 1788471776 13569147
LANGUAGE
English
NOTES

Gain valuable insights from your data with Elastic Stack's machine learning features Key Features Combine machine learning with the analytic capabilities of Elastic Stack to uncover actionable insights from your data Preprocess and analyze large volumes of search data effortlessly Improve the performance of your Elastic Stack with external analytical tools Book Description Elastic Stack, previously known as ELK stack, helps users ingest, process, and analyze search data effectively. With the flux of machine learning in its recent versions, Elastic Stack makes this process even more efficient. This book provides a comprehensive overview of Elastic Stack's machine learning features for anomaly detection and forecasting. Machine Learning with the Elastic Stack starts by guiding you in installing and setting up Elastic Stack. You'll perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you'll be equipped with all the knowledge you need to incorporate machine learning in your distributed search solutions. What you will learn Install Elastic Stack to use machine learning features Understand how Elastic machine learning is used to detect different types of anomalies Apply effective anomaly detection to IT operations and security analytics Explore Elastic machine learning for custom views, dashboards, and proactive alerting Manage and administer your machine learning jobs on the Elasticsearch cluster Learn various tips and tricks to get the most out of Elastic machine learning Who this book is for If you are a data professional eager to gain insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, this book is for you. You'll also find this book useful if you want to integrate machine learning with your search and analytics applications. Some experience with the Elastic Stack is needed to get the most out of this book

Mode of access: World Wide Web

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