AI Knowledge Tree
AI Knowledge Tree
Interactive map of the full DAG of Data Science, Machine Learning, Deep Learning, and AI Engineering. 10 pillars (A → J), with the cross-links that tie VAEs in Generative DL and Bayesian DL, Kalman in PGMs and Time Series, RAG in LLMs and AI Engineering.
Pillars
The top-level domains of the map (A → N), spanning Data Science, Machine Learning, Deep Learning, and AI Engineering. Each pillar is a set of disciplines taught as ordered, one-concept-per-page lessons. Pick a pillar to see its subsections and lessons.
Suggested paths
Curated reading sequences that cross the DAG, connecting pillars in a didactic order for different reader profiles. Pick a path to see its details.
Cross-pillar connections
Force-directed graph of subsections. Use the + / − buttons to zoom, drag nodes with a mouse, and click or tap to pin a subsection and see its connections. Selecting a suggested path above lights up its subsections here.