📄️ Introduction
Azure Anomaly Detector is a member of the Azure Cognitive Services family of services. Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps.
📄️ Prerequisites
The following prerequisites are required to complete this lab:
📄️ Univariate anomaly detection
Azure Univariate Anomaly Detection detects anomalies in your time series data with a single variable, for example temperature over time. You don't have to build a model to use the service. You just send your data to the anomaly detection API and it will return the predicted anomalies.
📄️ Multivariate anomaly detection
Multivariate anomaly takes a holistic approach to anomaly detection. It uses all the variables in the training dataset to train the model. This is different from univariate anomaly detection, which uses only one variable and doesn't require a pre-trained model.