This post deals with anomaly detection. There are three broad approaches to Anomaly detection
Consider the following transactional data set
Note that transactions pass through created->paid->cancelled in order.
The analyst usually needs to answer questions like
One of the key requirements in machine learning is to monitor the inputs and predictions of the pipeline in real time. This need arises as sudden large disturbances in inputs and/or the outputs leads to disturbances in down stream application and activities that consuming predictions.
In this post we will…