{"product_id":"tiny-but-mighty-edge-ai-engineering-quantization-pruning-and-on-device-ml-for-embedded-systems-9798258795298","title":"Tiny but Mighty: Edge AI Engineering: Quantization, Pruning, and On-Device ML for Embedded Systems","description":"\u003cp\u003e • Author(s): Richard Boozman\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePowerful AI does not have to live in the cloud.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFrom smart cameras to wearable devices and industrial sensors, intelligent systems are moving closer to the edge. The challenge is making models smaller, faster, and efficient enough to run on limited hardware.\u003c\/p\u003e\u003cp\u003e\"Tiny but Mighty\" is a practical, engineering focused guide to building optimized AI systems for edge devices using Python and modern machine learning frameworks.\u003c\/p\u003e\u003cp\u003eThis book teaches you how to compress, optimize, and deploy models that perform efficiently in real world embedded environments.\u003c\/p\u003e\u003cbr\u003eWhy edge AI is the future\u003cp\u003eCloud based AI has limitations: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003elatency in real time applications\u003c\/li\u003e\n\u003cli\u003edependency on network connectivity\u003c\/li\u003e\n\u003cli\u003eprivacy and data concerns\u003c\/li\u003e\n\u003cli\u003ehigh operational costs\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEdge AI solves these challenges by running models directly on devices.\u003c\/p\u003e\u003cp\u003eWith the right techniques, you can: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ereduce inference latency\u003c\/li\u003e\n\u003cli\u003eimprove privacy and security\u003c\/li\u003e\n\u003cli\u003eoperate offline\u003c\/li\u003e\n\u003cli\u003elower infrastructure costs\u003c\/li\u003e\n\u003cli\u003edeploy AI in constrained environments\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003efundamentals of edge AI systems\u003c\/li\u003e\n\u003cli\u003emodel quantization techniques\u003c\/li\u003e\n\u003cli\u003epruning and model compression\u003c\/li\u003e\n\u003cli\u003eoptimizing neural networks for efficiency\u003c\/li\u003e\n\u003cli\u003ehardware aware model design\u003c\/li\u003e\n\u003cli\u003edeploying models on embedded devices\u003c\/li\u003e\n\u003cli\u003eworking with edge AI frameworks\u003c\/li\u003e\n\u003cli\u003eperformance benchmarking and tuning\u003c\/li\u003e\n\u003cli\u003ebalancing accuracy and efficiency\u003c\/li\u003e\n\u003cli\u003ebuilding real time on device AI systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eFrom large models to efficient systems\u003cp\u003eThroughout the book, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eshrink large models without losing performance\u003c\/li\u003e\n\u003cli\u003eoptimize inference speed\u003c\/li\u003e\n\u003cli\u003edeploy models on constrained hardware\u003c\/li\u003e\n\u003cli\u003edesign efficient AI pipelines\u003c\/li\u003e\n\u003cli\u003etest and improve on device performance\u003c\/li\u003e\n\u003cli\u003ebuild reliable edge AI systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEach chapter focuses on practical optimization workflows.\u003c\/p\u003e\u003cbr\u003ePractical applications\u003cul\u003e\n\u003cli\u003esmart cameras and vision systems\u003c\/li\u003e\n\u003cli\u003eIoT devices and sensors\u003c\/li\u003e\n\u003cli\u003ewearable technology\u003c\/li\u003e\n\u003cli\u003eindustrial edge AI systems\u003c\/li\u003e\n\u003cli\u003emobile AI applications\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThese examples reflect real world deployments.\u003c\/p\u003e\u003cbr\u003eWho this book is for\u003cul\u003e\n\u003cli\u003emachine learning engineers\u003c\/li\u003e\n\u003cli\u003eembedded systems developers\u003c\/li\u003e\n\u003cli\u003eAI engineers\u003c\/li\u003e\n\u003cli\u003eIoT developers\u003c\/li\u003e\n\u003cli\u003eprofessionals building edge AI solutions\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIf you want to deploy AI models outside the cloud and into real devices, this book provides the roadmap.\u003c\/p\u003e\u003cp\u003eOptimize aggressively.\u003cbr\u003eDeploy efficiently.\u003cbr\u003eBuild AI at the edge.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47882621059223,"sku":"9798258795298","price":2694.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798258795298.webp?v=1781096306","url":"https:\/\/atlanticbooks.com\/products\/tiny-but-mighty-edge-ai-engineering-quantization-pruning-and-on-device-ml-for-embedded-systems-9798258795298","provider":"Atlantic Books","version":"1.0","type":"link"}