SKU: 49630701035

Historic Map : Depot de la Marine Nautical Chart or Map of The Coast of Vietnam (Qui Nhom to Da Nang), 1798, Vintage Wall Art

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Description

Historic Map : Depot de la Marine Nautical Chart or Map of The Coast of Vietnam (Qui Nhom to Da Nang), 1798, Vintage Wall ArtThis is a large and beautiful 1798 French Depot General de la Marine nautical chart or maritime map of the coast of Vietnam. The map covers the coast from modern day Qui Nhon north to Chan May near Da Nang. A large inset in the bottom left quadrant covers the coast north of Cape Choumay (Chan May) and includes an elevation profile view. Offers incredible detail both inland and at sea, noting rivers, cities and elevation along the coast. In the East

This is a large and beautiful 1798 French Depot-General de la Marine nautical chart or maritime map of the coast of Vietnam. The map covers the coast from modern day Qui Nhon north to Chan May near Da Nang. A large inset in the bottom left quadrant covers the coast north of Cape Choumay (Chan May) and includes an elevation profile view. Offers incredible detail both inland and at sea, noting rivers, cities and elevation along the coast. In the East Vietnam Sea there are several rhumb lines, depth soundings and coastal features noted. The chart was based on the observations of Vice Admiral François Etienne de Rosily Mesros and engraved by P. Croisey. Issued by the Depot de Marine in 1798.

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SKU: 49630701035

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TheTechGuyz
Carnegie, US
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
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Steve Wilson
Lake Worth, US
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
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Niti Sharma
Boise, US
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
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Catalina J.
Pawtucket, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
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Brian
Birmingham, US
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
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Reviewed in the United States on October 18, 2024

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