Machine learning with Elastic Stack

Earlier, one of the main issues related to machine learning while using Elasticsearch is that of solving anomaly detection. It can be traced back to the hot topics discussed in 2014 and earlier (see https://www.businesswire.com/news/home/20140826005072/en/Prelert-Extends-Anomaly-Detection-Elasticsearch and https://speakerdeck.com/elasticsearch/real-time-analytics-and-anomalies-detection-using-elasticsearch-hadoop-and-storm). Basically, anomaly detection is a statistical problem that can be solved in a simple way, by marking the irregularities from the common statistical properties of the input data distribution. However, we can solve the problem with machine learning-based approaches, such as cluster-based anomaly detection and support vector machine-based anomaly detection. The machine learning feature provided by Elastic Stack can involve...