🗂 Harvard has released a textbook on ML systems — from autograd to production

Not just another "what is a neural network" course — this is about how to build combat-ready ML systems around models.

What's inside:
▶️ Building autograd, optimizers, attention, and mini-PyTorch from scratch;
▶️ Batches, computational accuracy, architectures, and training;
▶️ Performance optimization, hardware acceleration, and benchmarking.

You can read the book and the code for free right now.

✈️ Link to GitHub
https://github.com/harvard-edge/cs249r_book