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Machine Learning with the Elastic Stack
Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features , Second Edition

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Profile Icon Rich Collier Profile Icon Camilla Montonen Profile Icon Bahaaldine Azarmi
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (9 Ratings)
Paperback May 2021 450 pages 2nd Edition
eBook
$35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Rich Collier Profile Icon Camilla Montonen Profile Icon Bahaaldine Azarmi
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (9 Ratings)
Paperback May 2021 450 pages 2nd Edition
eBook
$35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$35.99
Paperback
$48.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Integrate machine learning with distributed search and analytics
  • Preprocess and analyze large volumes of search data effortlessly
  • Operationalize machine learning in a scalable, production-worthy way

Description

Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection. The book starts by explaining machine learning concepts in an intuitive way. You'll then 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 discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with. By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform.

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.

What you will learn

  • Find out how to enable the ML commercial feature in the Elastic Stack
  • Understand how Elastic machine learning is used to detect different types of anomalies and make predictions
  • Apply effective anomaly detection to IT operations, security analytics, and other use cases
  • Utilize the results of Elastic ML in custom views, dashboards, and proactive alerting
  • Train and deploy supervised machine learning models for real-time inference
  • Discover various tips and tricks to get the most out of Elastic machine learning

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 31, 2021
Length: 450 pages
Edition : 2nd
Language : English
ISBN-13 : 9781801070034
Vendor :
Elastic
Category :
Languages :

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : May 31, 2021
Length: 450 pages
Edition : 2nd
Language : English
ISBN-13 : 9781801070034
Vendor :
Elastic
Category :
Languages :

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N/A Feb 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Achat facile, livraison très rapide, paiement sécurisé via paypal, parfait
Feefo Verified review Feefo
A. Norris Aug 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This product is an asset in the library. It is valuable as a lookup resource for both new and professional users of Elastic machine learning. The second edition adds more information about the latest revisions in the product and this is useful if you want to employ the most effective solutions.
Amazon Verified review Amazon
Amruta Ghate Aug 25, 2021
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Rich's book goes into intricate detail on all the features and functions of Elastic's ML capabilities. If you want to learn not only how to configure jobs but understand the underlying models and settings this is the book for you. I use Elastic daily and learned a lot by reading it.
Amazon Verified review Amazon
cindy gleason Jun 11, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am enjoying and learning a lot from this book. It does a great job giving valuable insights on how to use Elastic search's machine learning capabilities.
Amazon Verified review Amazon
namhar Jul 14, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you're working with the elastic stack or considering working with the elastic stack this book is very useful. It covers the practical side of setting up machine learning jobs in elastic in very accessible manner and presents the relevant theoretical aspects of ML as necessary.even if you're not working with elastic but are interested in the ML offerings, this book is useful in understanding what's offered.
Amazon Verified review Amazon
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