Research-leaning

Math, PyTorch, transformers — for people building the next architecture.

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Curriculum

1

Math for ML
37 lessons

Linear algebra, calculus, and probability with code.

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2

Deep Learning
28 lessons

Neural networks from scratch — the core, no fluff.

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3

Generative AI
63 lessons

LLMs in practice — RAG, evals, fine-tuning, self-hosting.

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