9783030858544 - demand prediction in retail: a practical guide to leverage data and predictive analytics: 14 di cohen, maxime c.; gras, paul-emile; pentecoste, arthur; zhang, renyu (21 risultati)

Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
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Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
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Demand Prediction in Retail: a Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14) [Hardcover] [Dec 22, 2021] Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur and Zhang, Renyu
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
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Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Hardback. Condizione: New. 2022 ed. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leverage…d to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: NEW.

Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers.From data collection to evaluation and visualization of prediction results, this.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 172 pages. 9.25x6.10x1.26 inches. In Stock.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demys…tify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. 2022 ed. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leverage…d to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

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- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 172 pages. 9.25x6.10x1.26 inches. In Stock. This item is printed on demand.

Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Dez 2021, 2021
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation…details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy. 176 pp. Englisch.

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Buch. Condizione: Neu. Demand Prediction in Retail | A Practical Guide to Leverage Data and Predictive Analytics | Maxime C. Cohen (u. a.) | Buch | Springer Series in Supply Chain Management | xvii | Englisch | 2021 | Springer | EAN 9783030858544 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121… Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation deta…ils to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.