Theory Practice Enterprise Recipes Reference by Ilya Katsov (37 results)

Hardback. Condition: Good. 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.…

Hardback. Condition: Good. 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.…

Hardcover. Condition: Good. VG condition book without dust jacket. Boards are clean with edge wear. Book has clean and bright contents.

hardcover. Condition: 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.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardback. Condition: Good.

Condition: New.

Condition: New.

Condition: as new. Wie neu/Like new.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: new.

Condition: New.

Condition: New.

Condition: New.

Condition: New. 2022. hardcover. . . . . .

Condition: New. In English.

Hardback. Condition: New. New copy - Usually dispatched within 3 working days.

Condition: New.

Condition: New.

Condition: New. 2022. hardcover. . . . . . Books ship from the US and Ireland.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: 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.

Hardcover. Condition: Brand New. 576 pages. 9.33x6.22x1.38 inches. In Stock.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.