Mülltonnenschrank 3türig

Marsoni

M251S

$378.89

Get it in 3 business days with 1 day shipping. Friday, May 29

Mülltonnenschrank 3türigDer praktische Mlltonnenschrank ist universell einsatzbar. Das obere Fach bietet genug Stauraum fr diverse Gartenutensilien. Die Hhe ist frei whlbar. Der Schrank bietet Platz fr drei Tonnen von 120 240L. Artikelnummer 358 05 Herstellerinformationen: Promex Handels GmbH Steinbrckerstr. 2 4 23556 Lbeck +49 451 881860 www. promex. info service@promex online. de

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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

Verified Purchase

Sai

New York, US

★★★★★ 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

Kirk D. Borne

Whiting, US

★★★★★ 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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Reviewed in the United States on October 24, 2025