The Splunk Machine Learning Toolkit (MLTK) lets you create, validate, manage, and operationalize machine learning models through a guided user interface. You can learn about MLTK with the following resources:

• Download the Machine Learning Toolkit Quick Reference Guide for a cheat sheet of ML-SPL commands and machine learning algorithms used in the Splunk Machine Learning Toolkit. This document is also available in Japanese.
• MLTK ships with several example datasets meaning you can practice machine learning concepts, or re-create the Showcase examples in your own instance before working with your own data.
• Watch Splunk Machine Learning Videos on our YouTube channel.
• Read more about machine learning tools in Splunk Machine Learning Blogs.
• Join the Splunk user group Slack channel.
• Sign up to learn more via Splunk Education. Complete the Splunk course on Analytics and Data Science once you have mastered the fundamentals.
• Be part of the conversation on the Splunk Community page.
• Learn about new machine learning algorithms from the Splunk open source community, and help fellow users of the toolkit by joining the Splunk Community for MLTK on GitHub.
• If you are building a custom app using the Machine Learning Toolkit and want to install it in your cloud environment, see Splunk Cloud Platform vetting guidelines for apps.