Machine learning in Elastic Stack
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Elastic Stack is a comprehensive solution to analyze magazines that helps users effectively receive, process and analyze the search data. The book contains a comprehensive overview of the Elastic Stack (Elastic ML) machine learning functions for both the analysis of time series data, and for the classification, regression and detection of emissions. The concepts of machine learning are explained by an understandable and accessible language. The analysis of the time series for various data types, such as magazine files, network flows, applications and financial data. The use of Elastic ML is described to maintain a journal, ensure safety and tracking of indicators.
After reading you will gain practical experience with the joint use of machine learning technology and Elastic Stack, as well as the knowledge necessary to include machine learning in your distributed search and data analysis platform
After reading you will gain practical experience with the joint use of machine learning technology and Elastic Stack, as well as the knowledge necessary to include machine learning in your distributed search and data analysis platform
Author:
Author:Кольер Рич, Азарми Бахаалдина, Монтонен Камилла
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
- Category:Magazines & Encyclopedia
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-93700-107-8
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