Introduction to supervised machine learning in Elastic

Introducing data frame analytics for supervised machine learning. Data frame analytics lets you build your own models using built-in regression, classification, and outlier detection jobs. Now with version 7.6 we will show you how to build a model and use it for real-time streaming data via the new inference ingest pipeline.


  • Building a regression model
  • Building a classification model
  • Using the Language Detection model
  • Integration between Elastic and Jupyter notebooks

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  • Steve Dodson

    Tech Lead, Distinguished Engineer


    Thomas Grabowski

    Product Manager


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