Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Condizione: As New. Unread book in perfect condition.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using deep learning and reinforcement learning methods, as well as their combination with traditional analytics and optimization approaches. The book is written for enterprise data scientists and analytics managers, and will also be useful for graduate students in operations research and applied statistics.The Theory and Practice of Enterprise AI is divided into five parts. Part I introduces basic concepts of enterprise decision automation and presents relevant deep and reinforcement learning methods. Part II presents recipes for customer analytics and personalization. Part III describes search and recommendation solutions that extensively leverage content data such as texts and images. Part IV discusses methods for price optimization and inventory management. Finally, Part V presents blueprints for anomaly detection and visual inspection that help to improve production and transportation operations. Python code examples are provided in the complementary online repository to support the reader's understanding of the implementation details. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 62,17
Quantità: 14 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 71,80
Quantità: 7 disponibili
Aggiungi al carrelloHardback. Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 60,98
Quantità: 14 disponibili
Aggiungi al carrelloCondizione: new.
Hardback. Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 65,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 73,92
Quantità: Più di 20 disponibili
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Da: Chiron Media, Wallingford, Regno Unito
EUR 54,72
Quantità: 14 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 57,67
Quantità: 19 disponibili
Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 77,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 65,07
Quantità: 14 disponibili
Aggiungi al carrelloCondizione: New. 2022. hardcover. . . . . .
EUR 61,40
Quantità: 19 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 65,47
Quantità: 16 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 3 working days.
Condizione: New. 2022. hardcover. . . . . . Books ship from the US and Ireland.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 83,33
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 58,60
Quantità: 14 disponibili
Aggiungi al carrelloCondizione: NEW.
Da: moluna, Greven, Germania
EUR 62,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. KlappentextrnrnThis book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using deep learning and reinforcement learning methods, as well as their combination with traditional analytics and.
Hardback. Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 107,57
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 576 pages. 9.33x6.22x1.38 inches. In Stock.
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 110,78
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using deep learning and reinforcement learning methods, as well as their combination with traditional analytics and optimization approaches. The book is written for enterprise data scientists and analytics managers, and will also be useful for graduate students in operations research and applied statistics.The Theory and Practice of Enterprise AI is divided into five parts. Part I introduces basic concepts of enterprise decision automation and presents relevant deep and reinforcement learning methods. Part II presents recipes for customer analytics and personalization. Part III describes search and recommendation solutions that extensively leverage content data such as texts and images. Part IV discusses methods for price optimization and inventory management. Finally, Part V presents blueprints for anomaly detection and visual inspection that help to improve production and transportation operations. Python code examples are provided in the complementary online repository to support the reader's understanding of the implementation details. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 67,15
Quantità: 7 disponibili
Aggiungi al carrelloHardback. Condizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 58,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,42
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 576 pages. 9.33x6.22x1.38 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 66,06
Quantità: Più di 20 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using deep learning and reinforcement learning methods, as well as their combination with traditional analytics and optimization approaches. The book is written for enterprise data scientists and analytics managers, and will also be useful for graduate students in operations research and applied statistics.The Theory and Practice of Enterprise AI is divided into five parts. Part I introduces basic concepts of enterprise decision automation and presents relevant deep and reinforcement learning methods. Part II presents recipes for customer analytics and personalization. Part III describes search and recommendation solutions that extensively leverage content data such as texts and images. Part IV discusses methods for price optimization and inventory management. Finally, Part V presents blueprints for anomaly detection and visual inspection that help to improve production and transportation operations. Python code examples are provided in the complementary online repository to support the reader's understanding of the implementation details.