{"product_id":"machine-learning-with-the-raspberry-pi-experiments-with-data-and-computer-vision-paperback","title":"Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision - Paperback","description":"\u003cp\u003eby \u003cb\u003eDonald J. Norris\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUsing the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable.\u003c\/p\u003e\u003cp\u003eMachine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been \"touched\" by artificial intelligence (AI) applications. Building on the concepts first presented in \u003ci\u003eBeginning Artificial Intelligence with the Raspberry Pi\u003c\/i\u003e, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. \u003c\/p\u003e\u003cp\u003eWhat you learn with \u003ci\u003eMachine Learning with the Raspberry Pi \u003c\/i\u003ecan then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAcquire a working knowledge of current ML \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse the Raspberry Pi to implement ML techniques and algorithms\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply AI and ML tools and techniques to your own work projects and studies\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEngineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUsing the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable.\u003c\/p\u003e\u003cp\u003eMachine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been \"touched\" by artificial intelligence (AI) applications. Building on the concepts first presented in \u003ci\u003eBeginning Artificial Intelligence with the Raspberry Pi\u003c\/i\u003e, you'll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. \u003c\/p\u003e\u003cp\u003eWhat you learn with \u003ci\u003eMachine Learning with the Raspberry Pi \u003c\/i\u003ecan then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDonald Norris\u003c\/b\u003e is an avid electronics hobbyist and maker. He is also an electronics engineer with an advanced degree in Production Management. Don is retired from civilian government service with the US Navy, where he specialized in acoustics and digital signal processing. He also has more than a dozen years' experience as a professional software developer using C, C#, C++, Python, and Java, as well as five years' experience as a certified IT security consultant.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 568\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.17 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 30, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42706060083263,"sku":"9781484251737","price":71.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/a8038f6f061a222fb2e1f6410b9149ab.webp?v=1765039048","url":"https:\/\/dhlswag.com\/products\/machine-learning-with-the-raspberry-pi-experiments-with-data-and-computer-vision-paperback","provider":"BBB","version":"1.0","type":"link"}