Time series forecasting is different from other machine learning problems. The key difference is the fixed sequence of observations and the constraints and addi

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Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic

Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowled

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