Linear Algebra · Linear algebra
Vectors
Vectors as arrows and lists of numbers: addition, scaling, length, the dot product and angles, linear combinations and span, with applications to portfolios, physics and AI embeddings using cosine similarity.
Step 1 of 6 · Overview30 min read ·
Key idea
Prereqs: Coordinate geometry; Trigonometry. Next: Matrices as transformations. Follows 3Blue1Brown *Essence of Linear Algebra* ch. 1–2, Gilbert Strang's MIT 18.06, Khan Academy.Next: 1. Three views