ka1manov/ai-ml-handbook — GitHub trending stats & insights

ka1manov/ai-ml-handbook

A staged AI/ML engineering roadmap, a RAG deep dive, 122 interview questions with real answers, a startup playbook and six long reads. ~57k words, free, no signup.

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"Learn backpropagation" is a roadmap item you can tick without being able to do it. In my handbook it reads: implement backprop for a two-layer net in NumPy and match PyTorch's gradients to 1e-6. You…

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