Women Black High-Rise Skinny Jeans

Marsoni

M251S

$1047.50

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

Women Black High-Rise Skinny JeansArticle Code: WFB 730 BLACK Color: BLACK Model Fitting: The model (height 5'7) is wearing a brand size 26 28 Fabric: 71% COTTON + 27% POLYESTER + 2% ELASTANE Fit: Skinny Fit Waist Rise: High Rise Length: Ankle Length Pattern: Solid Fade: Light Fade Shade: Dark Distress: Clean Look Waistband: With belt loops Stretch: Stretchable Closure: Button and Zip Number Of Pockets: 5 Knit Or Woven: Woven Add Ons: NA Fashion Type: Fashion Occasion: Casual Wash

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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

Chelsea, 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

Dallas, 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

Chelsea, 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