ML Study Roadmap: From Math Foundations to LLMs
techNmak · x · 2026-09-02
A comprehensive reading list covering the journey from math foundations to advanced AI:
- Foundations: Mathematics for Machine Learning, Introduction to Linear Algebra, All of Statistics.
- Theory: Convex Optimization, Information Theory, Inference, and Learning Algorithms.
- ML/DL: An Introduction to Statistical Learning, Probabilistic Machine Learning, Understanding Deep Learning.
- LLMs & NLP: Build a Large Language Model (From Scratch), Speech and Language Processing.
- RL & Vision: Reinforcement Learning: An Introduction, Computer Vision: Algorithms and Applications.
- Advanced: Graph Representation Learning, Causal Inference: The Mixtape, Bayes Rules!.
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