There's a fair amount of written information available:
Book on Elastic ML:
The definitive guide
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For sale on packt: Search | Packt Subscription
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For sale on Amazon: https://www.amazon.com/Rich-Collier/e/B07NF94RDQ
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Register for free e-Book: Digital book download: Machine Learning with the Elastic Stack - Second Edition
Recent ML Webinars
Public ML Blogs:
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(Alerting on Machine Learning Jobs in Elasticsearch | Elastic Blog)
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(Machine Learning Anomaly Scoring and Elasticsearch - How it Works | Elastic Blog)
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(Custom Elasticsearch Aggregations for Machine Learning Jobs | Elastic Blog)
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(Filtering Input Data to Refine Machine Learning Jobs | Elastic Blog)
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(How to Capture Domain Knowledge in Elastic Machine Learning Jobs with Custom Rules | Elastic Blog)
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(Temporal vs. Population Analysis in Elastic Machine Learning | Elastic Blog)
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(Import CSV and Log Data into Elasticsearch from Kibana with File Data Visualizer | Elastic Blog)
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(Interpreting multi-bucket impact anomalies using Elastic machine learning features | Elastic Blog)
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(Using machine learning in the Elastic Stack to analyze Meetup data | Elastic Blog)
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(Catching malware with Elastic outlier detection | Elastic Blog)
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(Elastic machine learning outlier detection benchmarking | Elastic Blog)
See What Users Are Asking Questions About:
Background on “How it works” or the “Math behind ML":
30 Min Meetup w/ Steve Dodson:
2017 ElasticON:
2018 ElasticON: