Introduction to supervised machine learning in Elastic

Steve Dodson

Distinguished Engineer II

Elastic

Tom Grabowski

Principal Product Manager

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.

Highlights:

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

Related Resources:

• Training: Elastic Machine Learning for Cybersecurity
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