Learning
Structured technical material from Univ.AI.
Practical AI and data systems learning
Course notebooks and guided paths are moving here as a focused learning library for statistical computing, machine learning, and production data systems.
Guided paths
Start with probability fundamentals, move through the central limit theorem, and finish with Monte Carlo and sampling algorithms.
Course notebooks
The migrated course archive includes 71 runnable notebooks and 10 markdown or Quarto notes from the selected source set.
Software notes
Short notes on practical tools for data processing, orchestration, and pipeline design.