Getting started with machine learning

To apply Elastic machine learning, you don’t need to have a data science team or design a system architecture. Our machine learning capabilities allow you to quickly get started! There’s no need to move data to a third-party framework for model training.

For those use cases that require custom models and optimized performance, our tools let you adjust parameters and import optimized models from the PyTorch framework.

This workshop focuses on a concrete task: getting an introduction to and become familiar with the different Out-of-the-Box anomaly detection capabilities and wizards in Elasticsearch. At the end of this tutorial, you should have a good idea of what machine learning is and will hopefully be inspired to use it to detect anomalies in your own data.

Workshop outline

NOTE: The instructions and screenshots for this workshop were done against Elasticsearch v. 8.9.0 (other versions might vary slightly).