Machine Learning Systems Education

An introductory textbook covering the full machine learning systems lifecycle, from data processing to model deployment and monitoring.

Build machine learning infrastructure from first principles: automatic differentiation, training loops, and distributed systems.

Educational hardware kits for hands-on experience with embedded machine learning and edge computing deployment.

Lecture slides, assignment templates, and assessment materials for educators teaching machine learning systems courses.

The Tiny Machine Learning Open Education Initiative democratizes access to embedded ML education through workshops and community collaboration.

Connect with students, educators, and researchers. Ask questions, share insights, and collaborate on ML systems education.