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The Theory and Practice of Enterprise AI

- Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Af: Ilya Katsov Engelsk Hardback

The Theory and Practice of Enterprise AI

- Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Af: Ilya Katsov Engelsk Hardback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser

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.

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Produktdetaljer
Sprog: Engelsk
Sider: 576
ISBN-13: 9780578328621
Indbinding: Hardback
Udgave:
ISBN-10: 0578328623
Kategori: Machine learning
Udg. Dato: 12 aug 2022
Længde: 36mm
Bredde: 237mm
Højde: 158mm
Forlag: Grid Dynamics
Oplagsdato: 12 aug 2022
Forfatter(e): Ilya Katsov
Forfatter(e) Ilya Katsov

Kategori Machine learning

ISBN-13 9780578328621

Sprog Engelsk

Indbinding Hardback

Sider 576

Udgave

Længde 36mm

Bredde 237mm

Højde 158mm

Udg. Dato 12 aug 2022

Oplagsdato 12 aug 2022

Forlag Grid Dynamics