{"product_id":"ai-at-the-edge-solving-real-world-problems-with-embedded-machine-learning-9781098120207","title":"AI at the Edge: Solving Real-World Problems with Embedded Machine Learning","description":"\u003cp\u003eEdge artificial intelligence is transforming the way computers interact with the real world, allowing internet of things (IoT) devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to flexible embedded Linux devices--for applications that reduce latency, protect privacy, and work without a network connection, greatly expanding the capabilities of the IoT. \u003c\/p\u003e\u003cp\u003e This practical guide gives engineering professionals and product managers an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level roadmap will help you get started. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDevelop your expertise in artificial intelligence and machine learning on edge devices \u003c\/li\u003e\n\u003cli\u003eUnderstand which projects are best solved with edge AI \u003c\/li\u003e\n\u003cli\u003eExplore typical design patterns used with edge AI apps \u003c\/li\u003e\n\u003cli\u003eUse an iterative workflow to develop an edge AI application \u003c\/li\u003e\n\u003cli\u003eOptimize models for deployment to embedded devices \u003c\/li\u003e\n\u003cli\u003eImprove model performance based on feedback from real-world use \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/24\/2023\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781098120207\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 450","brand":"Daniel Situnayake, Jenny Plunkett","offers":[{"title":"Default Title","offer_id":42531016573109,"sku":"9781098120207","price":67.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_eadc5645-4271-45f5-8328-a768a83fd240.jpg?v=1669735142","url":"https:\/\/pastforward.org\/products\/ai-at-the-edge-solving-real-world-problems-with-embedded-machine-learning-9781098120207","provider":"Past Forward","version":"1.0","type":"link"}