Isbn: 9783030858575 - demand prediction in retail: a practical guide to leverage data and predictive analytics: 14 (22 risultati)

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management)
Cohen, Maxime C.,Gras, Paul-Emile,Pentecoste, Arthur,Zhang, Renyu
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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Paperback. Condizione: new. Paperback. 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. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C. 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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paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Demand Prediction In Retail 1st ed. 2022
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 1st ed. 2022
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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Condizione: As New. Unread book in perfect condition.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
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Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Paperback. 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 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.…

Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 100,22
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Condizione: As New. Unread book in perfect condition.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Brossura
Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. 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 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.…

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C./ Gras, Paul-Emile/ Pentecoste, Arthur/ Zhang, Renyu
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 172 pages. 9.25x6.10x0.63 inches. In Stock.

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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Demand Prediction in Retail | A Practical Guide to Leverage Data and Predictive Analytics | Maxime C. Cohen (u. a.) | Taschenbuch | Springer Series in Supply Chain Management | xvii | Englisch | 2022 | Springer | EAN 9783030858575 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Paperback. Condizione: new. Paperback. 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. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. 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 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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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Dez 2022, 2022
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. 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.…

Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.…

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. 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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.…