Glossary term
Glossary term
Foundations
A subfield of machine learning and statistics that analyzes temporal data. Many types of machine learning problems require time series analysis, including classification, clustering, forecasting, and anomaly detection. For example, you could use time series analysis to forecast the future sales of winter coats by month based on historical sales data.
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A retail demand team uses time-series analysis to identify seasonal patterns and holidays effects in weekly sales by SKU.
A finance analytics team uses time-series analysis on monthly revenue to forecast next-quarter growth by region.
A logistics team uses time-series analysis to forecast hourly demand at depots and plan staffing accordingly.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License