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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques
Forecasting: principles and practice
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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
Time-Series Prediction and Applications
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This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It als
Time Series Forecasting in Python
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Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In
Grammar-Based Feature Generation for Time-Series Prediction
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This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learn