Session 3 - Linear Algebra I

Vectors, matrices, and the geometry of data in many dimensions.

Topics covered

Vectors as points, arrows, and lists of features; linear combinations
The dot product: similarity, length, angle, and projection
Matrices as data tables and as transformations of space
Matrix multiplication and systems of linear equations
The inverse, the determinant, and rank

Materials

📊 Slides
✏️ Exercise sheet
✅ Solutions