Barrett Arduino V: Machine Learning, 2ed

2. Auflage 2026
ISBN: 978-3-032-09565-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 359 Seiten

Reihe: Synthesis Collection of Technology (R0)

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in  microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, “Arduino V: AI and Machine Learning,” second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background.  The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Barrett, Steven F.

Inhaltsverzeichnis

Preface.- Chapter 1 Getting Started.- Chapter 2 Arduino Nano 33 BLE Sense.- Chapter 3 Arduino Nano 33 BLE Sense Power and Interfacing.- Chapter 4 Arti?cial Intelligence and Machine Learning.- Chapter 5 Fuzzy Logic.- Chapter 6 Neural Networks.

Über Autor(innen)

Steven F. Barrett, Ph.D., P.E. received the BS Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, the M.E.E.E. from the University of Idaho at Moscow in 1986, and the Ph.D. Electrical Engineering from The University of Texas at Austin in 1993.  He was formally an active duty faculty member at the United States Air Force Academy, Colorado and is now  the Associate Dean for Undergraduate Programs, College of Engineering and Physical Sciences,  at the University of Wyoming and Professor of Electrical and Computer Engineering.  He is a member of IEEE (Life Senior) and Tau Beta Pi (chief faculty advisor).  His research interests include digital and analog image processing, computer-assisted laser surgery, and embedded controller systems. He is a registered Professional Engineer in Wyoming and Colorado.  He co-wrote with Dr. Daniel Pack several textbooks on microcontrollers and embedded systems. In 2004, Barrett was named ``Wyoming Professor of the Year'' by the Carnegie Foundation for the Advancement of Teaching and in 2008 was the recipient of the National Society of Professional Engineers (NSPE) Professional Engineers in Higher Education, Engineering Education Excellence Award. In 2023 Barrett received the National Council of Examiners for Engineering and Surveying (NCEES) Distinguished Examination Service Award.