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Publicado por Packt Publishing (edition 2nd ed.), 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Añadir al carritoCondición: New. Machine Learning with the Elastic Stack - Second Edition: Gain valuable insights from your data with Elastic Stack's machine learning features (Paperback or Softback).
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Publicado por Packt Publishing 2021-05-31, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Idioma: Inglés
Publicado por Packt Publishing Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Publicado por Packt Publishing, Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Añadir al carritoCondición: New. Print on Demand pp. 450.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Idioma: Inglés
Publicado por Packt Publishing Limited, 2021
ISBN 10: 1801070032 ISBN 13: 9781801070034
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack s machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine l.
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Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning with the Elastic Stack - Second Edition | Gain valuable insights from your data with Elastic Stack's machine learning features | Rich Collier (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Packt Publishing | EAN 9781801070034 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your data Key Features: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 Book 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. 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 Who this book is 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.