Summary

Elastic ML has clearly infiltrated many of the other apps in the Elastic Stack, bringing easy-to-use functionality to users' fingertips. This proves how much Elastic ML is really a core functionality to the Stack itself, akin to other key stack features such as aggregations.

Congratulations, you have reached the end of the first half of this book, and hopefully you feel well armed with everything that you need to know about Elastic ML's anomaly detection.

Now, we will venture into the "other side" of Elastic ML – data frame analytics – where you will learn how to bring other machine learning techniques (including supervised-based model creation and inferencing) to open up analytical solutions to a vast new array of use cases.