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AI & ML
Search, knowledge representation, uncertainty, optimization and learning, with Python programming projects.
CS50, English
A rigorous foundation in AI algorithms with official projects; start after becoming comfortable with Python.
1 picks, in suggested order
Regression, classification, trees, ensembles and the full ML workflow.
CampusX, StatQuest with Josh Starmer
Neural networks, backpropagation, CNNs and transformers, from intuition to code.
3Blue1Brown, Andrej Karpathy, CampusX, Stanford Engineering
Build with LLMs: retrieval-augmented generation (RAG), agents and evaluation.
CampusX, Abhishek Veeramalla
Discrete math, linear algebra and statistics: the math behind algorithms and ML.
3Blue1Brown, StatQuest with Josh Starmer, Neso Academy
