Retail Time Series Forecasting in Python with TensorFlow
About this paper
In retail, making accurate sales predictions is essential to taking the right decisions that drive profitability. Time series forecasting and predictive modeling are widely used techniques to improve forecasting. This paper explores how deep neural networks can be used to model long range dependencies and how they can be implemented in Python using TensorFlow.
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