KS TOOLS 1" Schlagschraubernuß 78mm ( 515.1778 )

Marsoni

M251S

$226.60

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

KS TOOLS 1" Schlagschraubernuß 78mm ( 515.1778 )Produktbeschreibung: 1" Schlagschraubernu 78mm Sechskant Kraft Stecknuss, kurzMerkmale: 6 kant nach DIN 3129 ISO 2725 2 Innenvierkant nach DIN 3121 ISO 1174 kurze Ausfhrung fr Maschinenbettigung phosphatiert Chrom Molybdn Technische Daten: Durchmesser D1: 110 mm Durchmesser D2: 73 mm Gesamtlnge L in mm: 105 mm Gewicht [g]: 3000 g Herstellernummer: 515. 1778 Material1: Feinster Chrom Molybdn Stahl Norm: ISO 1174, DIN 3129, ISO 2725 2, DIN 3121 Profil1:

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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

Carnegie, 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

Draper, 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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Amazon User

Dallas, US

★★★★★ 5

Great book to understand Neural Networks!

Format: Paperback

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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