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Time series forecasting is a method of predicting future values based on historical trends of variables over time. This article explores the concept of time series forecasting and how machine learning and vector search revolutionize this practice. It also explains the components of time series data and how data scientists design algorithms to reach conclusions and make informed business decisions.