--- product_id: 334013299 title: "Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images" price: "C$6815" currency: NIO in_stock: true reviews_count: 11 url: https://www.desertcart.ni/products/334013299-practical-machine-learning-for-computer-vision-end-to-end-machine store_origin: NI region: Nicaragua --- # Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images **Price:** C$6815 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images - **How much does it cost?** C$6815 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.ni](https://www.desertcart.ni/products/334013299-practical-machine-learning-for-computer-vision-end-to-end-machine) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models Review: If you are in the market for this in print vs digital,this will work - Priced well and made a great Christmas gift for my son...yes, he asked for this. Review: Great book for any Computer Vision Practitioner! - I loved that this book essentially built on top of my current knowledge of Computer Vision. I have been through many courses to learn a lot about Computer Vision. The number one thing I liked about this book is that it provided a lot of context to various questions I have had but never got the chance to research. Things like how to handle Polar vs Cartesian Coordinates on images, how to handle other metadata related images, how to perform CV on sound waves, and etc.The amount of additional resources this book has makes it well worth the price! I highly recommend this book if you work in the Computer Vision or even in the ML space. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,302,742 in Books ( See Top 100 in Books ) #262 in Computer Vision & Pattern Recognition #494 in Computer Neural Networks #6,980 in Computer Science (Books) | | Customer Reviews | 4.2 out of 5 stars 45 Reviews | ## Images ![Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images - Image 1](https://m.media-amazon.com/images/I/81OAX7XZ9DL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ If you are in the market for this in print vs digital,this will work *by D***N on January 7, 2026* Priced well and made a great Christmas gift for my son...yes, he asked for this. ### ⭐⭐⭐⭐⭐ Great book for any Computer Vision Practitioner! *by S***N on February 22, 2022* I loved that this book essentially built on top of my current knowledge of Computer Vision. I have been through many courses to learn a lot about Computer Vision. The number one thing I liked about this book is that it provided a lot of context to various questions I have had but never got the chance to research. Things like how to handle Polar vs Cartesian Coordinates on images, how to handle other metadata related images, how to perform CV on sound waves, and etc.The amount of additional resources this book has makes it well worth the price! I highly recommend this book if you work in the Computer Vision or even in the ML space. ### ⭐⭐⭐ Too much TensorFlow framework emphasis *by P***K on January 29, 2026* It’s a good book, but the overwhelming emphasis on TF/Keras code is not helpful to my current group’s project which is all PyTorch in 2026. I wish the authors took more of a generalized modeling and pipeline focused approach rather than be so heavily focused on the particular code examples. ## Frequently Bought Together - Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images - Learning OpenCV 4 Computer Vision with Python - Computer Vision: Algorithms and Applications (Texts in Computer Science) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.ni/products/334013299-practical-machine-learning-for-computer-vision-end-to-end-machine](https://www.desertcart.ni/products/334013299-practical-machine-learning-for-computer-vision-end-to-end-machine) --- *Product available on Desertcart Nicaragua* *Store origin: NI* *Last updated: 2026-06-23*