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Data Science for Supply Chain Forecasting

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  • 280 pages
  • 10 hours of reading

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"Data Science for Supply Chain Forecasting, Second Edition" emphasizes the importance of a scientific approach in demand forecasting, combining experimentation and observation. This edition includes over 45% new content, covering traditional statistical models, machine learning, and demand forecasting management, with practical Python and Excel implementations. Ideal for supply chain professionals.

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Data Science for Supply Chain Forecasting, Nicolas Vandeput

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Released
2021
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Title
Data Science for Supply Chain Forecasting
Language
English
Publisher
De Gruyter
Released
2021
Format
Paperback
Pages
280
ISBN13
9783110671100
Series
Rating
3.6 out of 5
Description
"Data Science for Supply Chain Forecasting, Second Edition" emphasizes the importance of a scientific approach in demand forecasting, combining experimentation and observation. This edition includes over 45% new content, covering traditional statistical models, machine learning, and demand forecasting management, with practical Python and Excel implementations. Ideal for supply chain professionals.