Understand why AI is mostly matrix multiplication.
- Vectors as feature containers
- Matrices as transformations
- Dot product as similarity
- Embeddings as geometry
- Proofs
- Hand calculations
- Advanced matrix theory
- Why embeddings capture meaning
- Why cosine similarity works
- Why everything reduces to numbers