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llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
A re-wrapped version of the rossant/awesome-math list, published alongside a Siraj Raval YouTube video on learning math fast. It's a link collection covering everything from set theory to stochastic processes, mostly pointing at free PDFs of university lecture notes. Aimed at developers or self-learners who want a map of math resources without paying for textbooks.
The resource density is genuinely useful — hundreds of freely available PDFs from serious institutions (MIT, Stanford, ETH Zürich, Harvard) organized by topic. The coverage of areas relevant to ML (linear algebra, probability, statistics, optimization) is solid and the free-PDF format means everything is actually accessible. The CC0 license on the original rossant list means you can reuse this without worry.
This isn't really a repo — it's a README and a 30-line TOC builder script, and Siraj Raval is listed as author of content that was largely assembled by rossant. Link rot is severe: starred in 2017-2019, last pushed in 2019, and a meaningful fraction of those PDF URLs will 404 today. There's no guidance on ordering or prerequisites, so a beginner has no idea where to start — it's a flat list, not a curriculum, despite the name.