Anomaly Detection with Snowflake ML Functions

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Snowflake ML functions offer powerful SQL functionality for several common use cases, including anomaly detection, time series forecasting, and classification. In this course, learn about the types of models available in Snowflake ML functions, when to use functions for different machine learning Snowflake tasks, and the required data formats for input into anomaly detection and forecasting models. Next, examine how to use Snowflake ML functions to implement anomaly detection, interpret the output of the anomaly detection model, and tune model sensitivity and save model results. Finally, discover how to add exogenous variables for anomaly detection model enhancement and extend a model to work with multi-series data. After completing this course, you will be able to implement anomaly detection with Snowflake ML functions.