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Eibach ERS 5.00 inch L x 2.25 inch dia x 850 lbs Coil Over Spring

Marsoni M251S
Sale price$85.00
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Eibach ERS 5.00 inch L x 2.25 inch dia x 850 lbs Coil Over SpringSKU: 0500. 225. 0850 UPC: 803050103680 Universal Fit Eibach ERS 5. 00 inch L x 2. 25 inch dia x 850 lbs Coil Over Spring Eibach ERS coilover spring delivers 5. 00 inch free length, 2. 25 inch inside diameter, and 850 lbs per inch rate for precise suspension tuning. Built for custom coilover shocks in drag racing, autocross, circle track, and off road applications on performance vehicles. Provides consistent response and durability under high loads.
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Y. Banga
Alexandria, 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
Fort Morgan, 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
Alexandria, 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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Lake Worth, 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
Charlottesville, US
★★★★★ 5
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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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