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Total Size:
71.0 MB
Info Hash:
D1FD4DD3EA6AC7A307B89627616F5B5A8F5157BD
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Added:
March 2, 2026, 2:53 p.m.
Stats:
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(Last updated: May 29, 2026, 10:45 p.m.)
| File | Size |
|---|---|
| Barrett S. Arduino V. Machine Learning 2ed 2026.pdf | 71.0 MB |
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12.5 MB
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2023-12-21
| Uploaded by indexFroggy | Size 12.5 MB | Health [ 46 /28 ] | Added 2023-12-21 |
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| Uploaded by andryold1 | Size 26.6 MB | Health [ 28 /17 ] | Added 2025-07-02 |
NOTE
SOURCE: Barrett S. Arduino V. Machine Learning 2ed 2026
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COVER
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MEDIAINFO
Textbook in PDF format
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.
The first three chapters explore the Arduino IDE, the Arduino Nano 33 BLE Sense Rev 2, and sensor and peripheral interface techniques. In the remaining three chapters, we take a tutorial approach to AI and ML concepts appropriate for implementation on a microcontroller, including K Nearest Neighbors (KNN), Decision Trees, Fuzzy Logic, Perceptrons, and Artificial Neural Nets (ANN).
In the rapidly evolving Arduino world, a new release of the Arduino Nano 33 BLE Sense Rev 2 necessitated a second edition of Arduino V: Machine Learning. This edition reviews new Rev 2 features but also contains many new examples, sensor interfaces, approaches, and applications. The Arduino UNO R3 and Arduino ATmega2560 are used in several examples
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