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portada Embedded Machine Learning With Microcontrollers: Applications on Arduino Boards
Type
Physical Book
Publisher
Author
Language
English
Pages
384
Format
Hardcover
ISBN13
9783031694202
Edition No.
2024th

Embedded Machine Learning With Microcontrollers: Applications on Arduino Boards

Cem Ünsalan; Berkan Höke; Eren Atmaca (Author) · Springer · Hardcover

Embedded Machine Learning With Microcontrollers: Applications on Arduino Boards - Cem Ünsalan; Berkan Höke; Eren Atmaca

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Synopsis "Embedded Machine Learning With Microcontrollers: Applications on Arduino Boards"

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino 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 microcontroller properties easily, the material allows for fast implementation 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.

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