From Calculus to LLMs: A 7-Step Self-Study Curriculum for ML Math
burny_tech · x · 2026-08-28
A structured learning path for mastering Machine Learning mathematics and practice, utilizing free resources from top universities like MIT and Stanford.
Core Sequence:
- Mathematics for Computer Science
- Single & Multivariable Calculus
- Linear Algebra
- Probability Theory
- Machine Learning
Specialization:
- Deep Learning
- Transformers and LLMs
Alternative:
- Andrej Karpathy's "Zero to Hero": A hands-on approach to building LLMs from scratch in Python with less math focus.
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