{"product_id":"tiny-machine-learning-techniques-for-constrained-devices-9781032897523","title":"Tiny Machine Learning Techniques for Constrained Devices","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 224 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 29 January 2026\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eTiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 590g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032897523\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":48344037654778,"sku":"9781032897523","price":82.81,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1771024389246_book.jpg?v=1771331529","url":"https:\/\/shulphink.com\/products\/tiny-machine-learning-techniques-for-constrained-devices-9781032897523","provider":"Shulph Ink","version":"1.0","type":"link"}