Event
Time Series, Two Ways
13 February 2019
New York
Added 20-Jan-2023
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.
