Elastic: 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.

Highlights:

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