{"product_id":"tiny-machine-learning-techniques-for-constrained-devices-9781032897523","title":"Tiny Machine Learning Techniques for Constrained Devices","description":"\u003cp\u003e • Author(s): Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: Chapman and Hall\/CRC\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eTiny Machine Learning Techniques for Constrained Devices\u003c\/i\u003e 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","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":46931090473111,"sku":"9781032897523","price":8954.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032897523.webp?v=1771611046","url":"https:\/\/atlanticbooks.com\/products\/tiny-machine-learning-techniques-for-constrained-devices-9781032897523","provider":"Atlantic Books","version":"1.0","type":"link"}