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## Overview
_This book is for those embedding wisdom in the silicon veins of tomorrow, sculpting a future where technology thinks, learns, and grows with us._
The target audience for this book is anyone who want to understand and implement machine learning algorithms on resource-constrained devices.
This book is a collaborative effort started by the CS249r Tiny Machine Learning class at Harvard University. We intend for this book to become a community-driven effort to help educators and learners get started with TinyML. This living document will be continually updated as we continue to learn more about TinyML and how to teach it.
## Topics Covered
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* **Availability of Resources**: To fully explore the practical aspects of TinyML, readers should have access to the necessary resources. These include a computer with Python and relevant libraries installed, as well as *optional access to an embedded development board or microcontroller* for experimenting with deploying machine learning models.
By ensuring that these general requirements are met, readers will have the opportunity to broaden their understanding of TinyML, gain hands-on experience with coding exercises, and even venture into practical implementation on embedded devices, enabling them to *push the boundaries* of their knowledge and skills.
## Book Structure
This book is specifically designed to serve both educators and learners in getting started with TinyML. The topics begin with a basic introduction to machine learning (ML) and embedded systems. Following this, readers will be introduced to the ML workflow in the context of tinyML, including data collection, data engineering, model development, model deployment, and then MLOps. Subsequently, special topics are covered such as on-device learning, secure and privacy-preserving ML, responsible AI, sustainability, and generative AI.

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# Dedication {.unnumbered}
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_This book is a testament to the idea that, in the vast expanse of technology and innovation, it's not always the largest systems, but the smallest ones, that can change the world._
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This book is a testament to the idea that, in the vast expanse of technology and innovation, it's not always the largest systems, but the smallest ones, that can change the world.
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