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Cover: 9780578328621 | The Theory and Practice of Enterprise AI | Ilya Katsov | Buch | 2022
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The Theory and Practice of Enterprise AI
Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Buch von Ilya Katsov
Sprache: Englisch

67,55 €*

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Lieferzeit 1-2 Wochen

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Beschreibung
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.
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 576
Inhalt: Gebunden
ISBN-13: 9780578328621
ISBN-10: 0578328623
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Katsov, Ilya
Hersteller: Grid Dynamics
Maße: 235 x 157 x 35 mm
Von/Mit: Ilya Katsov
Erscheinungsdatum: 12.08.2022
Gewicht: 0,976 kg
preigu-id: 122385429
Details
Erscheinungsjahr: 2022
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 576
Inhalt: Gebunden
ISBN-13: 9780578328621
ISBN-10: 0578328623
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Katsov, Ilya
Hersteller: Grid Dynamics
Maße: 235 x 157 x 35 mm
Von/Mit: Ilya Katsov
Erscheinungsdatum: 12.08.2022
Gewicht: 0,976 kg
preigu-id: 122385429
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