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Machine Learning with the Elastic Stack - Second Edition

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Machine Learning with the Elastic Stack - Second Edition Rich Collier, Camilla Montonen, Bahaaldine Azarmi - okładka książki

Machine Learning with the Elastic Stack - Second Edition Rich Collier, Camilla Montonen, Bahaaldine Azarmi - okładka książki

Machine Learning with the Elastic Stack - Second Edition Rich Collier, Camilla Montonen, Bahaaldine Azarmi - okładka audiobooka MP3

Machine Learning with the Elastic Stack - Second Edition Rich Collier, Camilla Montonen, Bahaaldine Azarmi - okładka audiobooks CD

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Bądź pierwszym, który oceni tę książkę
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450
3w1 w pakiecie:
     PDF
     ePub
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Ebook

149,00 zł

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Do przechowalni

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.

0 Rich Collier, Camilla Montonen, Bahaaldine Azarmi

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