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Ben Nevis 2014/2025 - 11 y.o. - Malaga Cask #376945 - James Eadie

Marsoni M251S
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Ben Nevis 2014/2025 - 11 y.o. - Malaga Cask #376945 - James EadieVolumen: 0. 7 Liter Alkoholgehalt: 58. 1% Nicht khlfiltriert Ohne Farbstoff Ben Nevis 2014 2025 11 y. o. Malaga Cask #376945 James Eadie Besonderheiten: Dieser 11 Jahre alte Ben Nevis Single Malt wurde von James Eadie, einem unabhngigen Abfller mit Wurzeln bis ins 19. Jahrhundert, abgefllt. Nach der Destillation im Jahr 2014 reifte der Whisky in einem Malaga Fass, was ihm eine sommerliche Ssse verleiht. Abgefllt wurde er 2025 in Fassstrke mit 58,1%
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Y. Banga
Bozeman, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
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William L. Crupi
Waukegan, US
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025
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jeff s kittrell
Massapequa, US
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
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Draper, US
★★★★★ 5
Great book to understand Neural Networks!
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Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025
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Kyle
Lowell, US
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Quadruple BAM.
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Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
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Reviewed in the United States on October 22, 2025

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