Detecting anomalies in your data with unsupervised machine learning jobs

In this recipe, we’ll introduce you to the concept of anomaly detection and guide you through creating an unsupervised ML job to uncover unusual patterns in your dataset.

But first, what exactly is anomaly detection? Elasticsearch’s machine learning anomaly detection feature is a dynamic tool capable of automatically learning the typical behavior of your time series data and pinpointing anomalies as they occur. This feature is equipped to perform sophisticated analysis, enhance root cause investigation, and minimize the occurrence of false positives, ultimately providing automated, real-time anomaly detection for time series data. These techniques are part of the unsupervised machine learning category.

In this recipe, we’ll create a machine learning configuration known as a job to detect abnormal patterns in our traffic dataset by focusing on data points such as travel time, average...