


Costume Lola tutu or et rose paillettes
Marsoni
M251S
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Friday, May 29
Costume Lola tutu or et rose paillettesCostume Lola tutu or et rose paillettes Couleur or et rose Tailles disponibles: de 110 140cm Marque: MiDee Caractristiques: Pour enfant Bretelles fines Matire: 82%Nylon 18%Spandex Avec sequins Strech Idal pour la danse Guide des tailles (cm): Nos tailles Buste Taille Hanche Circonfrence Hauteur recommande Poids recommand XXSC 51 55 48 51 51 56 80 90 105 115 40 45 XSC 55 59 51 55 56 60 90 100 115 125 45 50 SC 59 63 56 60 60 65 100 110 125 135 50 60 IC
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★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more!
Disclosure: the publisher provided me with a free review copy of the book.
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★★★★★ 5
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Reviewed in the United States on January 2, 2026
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