Using AutoML for Time Series Forecasting

Posted by Chen Liang and Yifeng Lu, Software Engineers, Google Research, Brain Team Time series forecasting is an important research area for machine learning (ML), particularly where accurate forecasting is critical, including several industries such as retail, supply chain, energy, finance, etc. For example, in the consumer goods domain, improving the accuracy of demand forecasting by 10-20% can reduce inventory by 5% and increase revenue by 2-3%. Current ML-based forecasting solutions are usu...

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