Roadmap
Currently in Stage 1 — week 1 of vectors. Update this line weekly.
Math Foundations
Vectors, dot product, chain rule, and linear algebra intuition that every later post links back to.
Links to articles + projects will appear here once the MDX content system is connected.
Neural Networks
Perceptrons, activations, backpropagation, and the first full training loops.
Links to articles + projects will appear here once the MDX content system is connected.
Optimization
Gradient descent series, momentum, Adam, and the geometry of loss landscapes.
Links to articles + projects will appear here once the MDX content system is connected.
Classic ML
Linear models, trees, SVMs, and evaluation — the toolkit that still matters.
Links to articles + projects will appear here once the MDX content system is connected.
CNNs
Convolution as a linear operator and why locality + weight sharing works.
Links to articles + projects will appear here once the MDX content system is connected.
Transformers
Attention mechanisms, scaling, and modern sequence models.
Links to articles + projects will appear here once the MDX content system is connected.
RAG & LLM Systems
Retrieval, reranking, evaluation, and building reliable LLM products.
Links to articles + projects will appear here once the MDX content system is connected.
Projects
End-to-end projects with theory first: autograd, nano-nets, and interactive demos.
Links to articles + projects will appear here once the MDX content system is connected.
AI Engineering
Shipping, monitoring, and maintaining models in production with real constraints.
Links to articles + projects will appear here once the MDX content system is connected.