On-demand webinar

Introduction to supervised machine learning in Elastic

Hosted by

Steve Dodson
Steve Dodson

Distinguished Engineer II


Tom Grabowski
Tom Grabowski

Principal Product Manager



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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