Detect outliers EASILY | Snowflake Cortex ML Functions | Anomaly Detection

In this video we explore what anomaly detection is, why it's useful, and delve into the specifics of how Snowflake Cortex can help you identify and address outliers in your time series data.

What is Anomaly Detection?
Anomaly detection is the process of identifying outliers in data. These outliers are data points that deviate significantly from the expected range. Spotting these anomalies is crucial because they can heavily impact the accuracy of statistics and machine learning models derived from your data. By identifying and removing these outliers, you can improve the overall quality and reliability of your results.

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