Preface
Welcome to Machine Learning Systems, your gateway to the fast-paced world of machine learning (ML) systems. This book is an extension of the CS249r course at Harvard University, taught by Prof. Vijay Janapa Reddi, and is the result of a collaborative effort involving students, professionals, and the broader community of AI practitioners.
We’ve created this open-source book to demystify the process of building efficient and scalable ML systems. Our goal is to provide a comprehensive guide that covers the principles, practices, and challenges of developing robust ML pipelines for deployment. This isn’t a static textbook—it’s a living, evolving resource designed to keep pace with advancements in the field.
“If you want to go fast, go alone. If you want to go far, go together.” – African Proverb
This book connects foundational principles with practical workflows, guiding you through concepts like data collection, model design, optimization, acceleration, and security hardening, all from a systems perspective. Whether you’re a student, practitioner, or researcher, we hope you find value in this dynamic, community-driven resource.
Why We Wrote This Book
In a world where technology is constantly evolving, open collaboration and shared knowledge are essential for innovation. This book goes beyond the traditional textbook model to serve as a living knowledge hub, inviting contributions and fostering a global community of learners and innovators.
By focusing on the principles and practices of ML systems, we aim to help you navigate the complexities of deploying and maintaining AI solutions. Together, let’s explore the potential of machine learning to transform industries and improve lives.
Want to Help Out?
This is a collaborative project, and your input matters! If you’d like to contribute, check out our contribution guidelines. Feedback, corrections, and new ideas are always welcome. Simply file a GitHub issue.
What’s Next?
If you’re ready to dive deeper into the book’s structure, learning objectives, and practical use, visit the About the Book section for more details.