SKU: 44987242850

Thule Achterzitje Yepp 2 Maxi Drager Bev. Fennel Tan

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Thule Achterzitje Yepp 2 Maxi Drager Bev. Fennel TanMaak elke fietstocht comfortabeler en veiliger met het Thule achterzitje Yepp 2 Maxi, uitgevoerd in fennel tan. Dit achterzitje is speciaal ontworpen voor gebruik op Thule dragers en biedt een betrouwbare combinatie van veiligheid, comfort en stijl voor je kind vanaf jonge leeftijd. Dankzij de slanke vorm en robuuste materialen biedt het zitje stabiliteit tijdens elke rit, zelfs op oneffen wegen. De comfortabele bekleding zorgt voor een aangename zit,

Maak elke fietstocht comfortabeler en veiliger met het Thule achterzitje Yepp 2 Maxi, uitgevoerd in fennel tan. Dit achterzitje is speciaal ontworpen voor gebruik op Thule dragers en biedt een betrouwbare combinatie van veiligheid, comfort en stijl voor je kind vanaf jonge leeftijd. Dankzij de slanke vorm en robuuste materialen biedt het zitje stabiliteit tijdens elke rit, zelfs op oneffen wegen. De comfortabele bekleding zorgt voor een aangename zit, terwijl de verstelbare beveiligingsriemen zorgen voor een veilige en perfecte pasvorm. Belangrijkste kenmerken Veilig en eenvoudig bevestigbaar op Thule dragers, met een stabiel montagesysteem Comfortabele zit met aangename bekleding voor lange ritten Verstelbare gordel en eenvoudige in- en uitklapfunctie Duurzaam en lichtgewicht constructie die lang meegaat Stijlvolle fennel tan afwerking die past bij elke fiets Of je nu korte ritten door de wijk maakt of lange gezinsuitjes plant, dit Thule achterzitje Yepp 2 Maxi biedt betrouwbaarheid en gemoedsrust voor jou en comfort voor je kindje. Bestel nu en geef je fietstochten een extra dosis plezier en veiligheid.
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SKU: 44987242850

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TheTechGuyz
Port Orchard, 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
Pawtucket, 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
Carnegie, 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.
Whiting, 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
Los Angeles, 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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