Clean-up TinyML/Embedded #201

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GiteaMirror · 2026-03-22T15:29:50-05:00

GiteaMirror commented

2026-03-22 15:29:50 -05:00

Originally created by @profvjreddi on GitHub (Aug 27, 2024).

Originally assigned to: @profvjreddi on GitHub.

When I initially started working on this book for the class, it was focused on tiny machine learning. However, as I began writing, it became clear that machine learning systems, whether big or small, share the same fundamentals. Consequently, I've been gradually trying to move away from explicitly discussing or mentioning tiny ML in the book. Nevertheless, I haven't fully addressed this yet, and it needs to be cleaned up through all the chapters. The goal is to focus on ML systems broadly as a category and using Cloud, Edge and Tiny as just examples of classes of ML deployments.

Originally created by @profvjreddi on GitHub (Aug 27, 2024). Originally assigned to: @profvjreddi on GitHub. When I initially started working on this book for the class, it was focused on tiny machine learning. However, as I began writing, it became clear that machine learning systems, whether big or small, share the same fundamentals. Consequently, I've been gradually trying to move away from explicitly discussing or mentioning tiny ML in the book. Nevertheless, I haven't fully addressed this yet, and it needs to be cleaned up through all the chapters. The goal is to focus on ML systems broadly as a category and using Cloud, Edge and Tiny as just examples of classes of ML deployments.

GiteaMirror added the area: book type: improvement labels 2026-03-22 15:29:51 -05:00

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