Humans-in-the-loop forecasting: integrating data science and business planning
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. In choosing the appropriate method, a key distinction lies in the business stakes associated with a given forecast publication cycle. If the costs of prediction error are asymmetric (e.g. 95th percentile).
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