On-demand webinar
Introduction to supervised machine learning in Elastic
Hosted by:
Steve Dodson
Distinguished Engineer II
Elastic
Tom Grabowski
Principal Product Manager
Elastic
Overview
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
- Videos:
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