{"product_id":"embedded-machine-learning-with-microcontrollers-applications-on-stm32-development-boards-hardcover","title":"Embedded Machine Learning with Microcontrollers: Applications on Stm32 Development Boards - Hardcover","description":"\u003cp\u003eby \u003cb\u003eCem ?nsalan\u003c\/b\u003e (Author), \u003cb\u003eBerkan H?ke\u003c\/b\u003e (Author), \u003cb\u003eEren Atmaca\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on STM32 development boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students are guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eTeaches the embedded system design skills needed for today's job market;\u003c\/li\u003e \u003cli\u003eThoroughly explains each concept and provides illustrated examples and projects;\u003c\/li\u003e \u003cli\u003eIncludes sample codes and course slides and a solutions manual.\u003c\/li\u003e \u003c\/ul\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 403\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 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 October 25, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51755402395936,"sku":"9783031709111","price":113.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/3edba26ecf53949b2497207264733e7d.webp?v=1780057983","url":"https:\/\/ebocreations.com\/products\/embedded-machine-learning-with-microcontrollers-applications-on-stm32-development-boards-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}