Do Time Series Forecasts Really Need Deep Learning Models?
Do Time Series Forecasts Really Need Deep Learning Models? IntroductionTime series forecasting is a common task in machine learning with very wide applications, such as predicting energy consumption, traffic flow, and air quality. Traditional time series forecasting models often rely on rolling averages, vector autoregression, and autoregressive integrated moving averages. On the other hand, recent … Read more