Time Series, Two Ways

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Time Series, Two Ways

13 February 2019

New York

Added 05-Jun-2019

Data scientists and researchers are often tasked with measuring how a metric changes over time. Whether it's daily website visits, weekly sales, monthly unemployment rate, or annual population count, time series is one of the most commonly analyzed data formats across fields. This talk will demonstrate two statistical methods for approaching times series analysis, forecasting and anomaly detection, and when to apply them.

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