Machine learning today is a key driver for automation across all industries and use cases. With Elastic’s approach to anomaly detection, all intelligence is embedded in the Stack, delivering an easy-to-use UI — no data science background required. Powerful algorithms learn the patterns of your data and lead your attention to areas of interest, identifying service issues, infrastructure problems or threats you might be compromised with. 

We will cover both unsupervised and supervised learning from a theoretical and practical perspective with enough room for questions and discussions. 

Participants do not require a background in data science. Basic knowledge about Elasticsearch and Kibana is beneficial.

The workshop will start at 10:00 a.m, the first 2 hours covering unsupervised learning and the last hour supervised learning including data transforms