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- 280pages
- 10 heures de lecture
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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
- Langue
- Année de publication
- 2019
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- (souple)
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- Titre
- Data Science for Supply Chain Forecasting
- Langue
- Anglais
- Auteurs
- Nicolas Vandeput
- Éditeur
- De Gruyter
- Publié
- 2019
- Format
- souple
- Pages
- 280
- ISBN10
- 3110671107
- ISBN13
- 9783110671100
- Séries
- Mots clés
- Nonfiction
- 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.