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AtoVProject MMx2 Matrixable Mixer x 2 - Black

Marsoni M251S
Sale price$149.50
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AtoVProject MMx2 Matrixable Mixer x 2 - BlackEnhance modulation capabilities with the MMx2, a dual pack module designed for versatility and creativity within your system. Each MMx2 package includes a pair of MM modules. Sold as a pair, MM modules can operate independently or be linked for expanded matrix mixing functions. For increased capabilities, connect additional MM modules to your Eurorack synthesiser setup. Featuring attenuators on the first two inputs and attenuverters on the last two,
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4.7 ★★★★★
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Sirius
Natrona Heights, US
★★★★★ 5
very practical and helpful
Format: Paperback
Great book, I’m satisfied with my purchase
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Reviewed in the United States on September 6, 2025
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Tans
New York, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
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RAKESH MITTAL
Natrona Heights, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
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Ting
Alexandria, US
★★★★★ 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
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Sai
Fort Morgan, 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

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