Teaching Docs

These documentation pages are organised into three self‑contained modules:

1. Maching Learning (ongoing) – fundamentals of supervised / unsupervised learning with hands‑on model building.
2. Deep Learning (ongoing) – neural‑network theory, modern architectures (CNNs, RNNs, Transformers) and practical implementation.
3. Explainability in AI (ongoing) – methods for interpreting models and ensuring trust, fairness, and regulatory compliance.

Each module can be followed independently, but new learners are encouraged to begin with Maching Learning, then continue to Deep Learning and Explainability.