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Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics

Book Specification

Binding Paperback
Language English
Number Of Pages 304
Author Rich Collier
Publisher Packt Publishing Limited
Isbn-10 1788477545
Isbn-13 9781788477543
Dimension 19.05*1.75*23.5

Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics

Rich Collier's Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics

Leverage Elastic Stack's machine learning features to gain valuable insight from your data Key Features Combine machine learning with the analytic capabilities of Elastic Stack Analyze large volumes of search data and gain actionable insight from them Use external analytical Tools with your Elastic Stack to improve its performance Book DescriptionMachine 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 Elasticsearch cluster and made resilient to failure. By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly. What you will learn Install the Elastic Stack to use machine learning features Understand how Elastic machine learning is used to detect a variety of anomaly types Apply effective anomaly detection to IT operations and Security analytics Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting Combine your created jobs to correlate anomalies of different layers of infrastructure Learn various Tips and tricks to get the most out of Elastic machine learning Who this book is forIf you are a data Professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.
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Amazon, Paperback Rs. 989.0

Why you should read Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics by Rich Collier

This book has been written by Rich Collier, who has written books like Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics. The books are written in Computer Science category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Machine Learning with the Elastic Stack: Expert techniques to integrate machine learning with distributed search and analytics

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 60 hours
Average 30 hours
Good 20 hours
Excellent 10 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 20 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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