9783030858575 - demand prediction in retail: a practical guide to leverage data and predictive analytics: 14 (springer series in supply chain management) de cohen, maxime c.; gras, paul-emile; pentecoste, arthur; zhang, renyu (22 resultados)
Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Idioma: Inglés
Editorial: Springer Nature Switzerland AG, CH, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Paperback. Condición: 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)
Cohen, Maxime C.,Gras, Paul-Emile,Pentecoste, Arthur,Zhang, Renyu
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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paperback. Condición: 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.
Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Paperback. Condición: 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 levera…ged 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 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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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
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Condición: New. In.
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,
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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paperback. Condición: New.
Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Condición: 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
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Paperback. Condición: Brand New. 172 pages. 9.25x6.10x0.63 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Taschenbuch. Condición: 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, Tiergartens…tr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, CH, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Paperback. Condición: New. 2022 ed.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Paperback. Condición: 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 levera…ged 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.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland Dez 2022, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Taschenbuch. Condición: 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 implement…ation 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.
Idioma: Inglés
Editorial: Springer, Berlin|Springer International Publishing|Springer, 2023
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Condición: 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 cod…e 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
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Condición: 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
Idioma: Inglés
Editorial: Springer, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer, Springer Dez 2022, 2022
Serie: Springer Series in Supply Chain Management, Libro 12 de 23. Libro 12 de 23 - Springer Series in Supply Chain Management
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Taschenbuch. Condición: 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 implementatio…n 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.
