Linear Algebra Complete
Vectors, matrices, eigenvalues, least squares, and SVD — the language of data and graphics.
Step 6 of 7 · Foundation → Algebra → NCERT 11 → Calculus → Stats → Linear Algebra → Discrete
Curriculum
10 lessons
Vectors: Geometry & Algebra
Article · 16 min
Matrices & Matrix Arithmetic
Article · 18 min
Linear Systems & Gaussian Elimination
Article · 20 min
Span, Independence, Basis & Dimension
Article · 18 min
Determinants & Invertibility
Article · 17 min
Eigenvalues & Eigenvectors
Article · 20 min
Orthogonality, Projections & Least Squares
Article · 18 min
Abstract Vector Spaces & Linear Maps
Article · 15 min
SVD & Spectral Theorem Preview
Article · 16 min
Applications: Graphics, Networks & ML
Article · 14 min
Suggested learning path
Mathematics Core Path
- Step 1
Mathematics from Zero
Foundation
16 lessons · 5 hours
- Step 2
Algebra & Precalculus
Bridge
12 lessons · 5 hours
- Step 3
NCERT Class 11 Mathematics
NCERT Board Path
15 lessons · 6 hours
- Step 4
Calculus: Complete Course
Rates & Accumulation
18 lessons · 8 hours
- Step 5
Statistics Fundamentals
Uncertainty
12 lessons · 5 hours
- Step 6
Linear Algebra Complete
Vectors & Matrices
10 lessons · 5 hours
- Step 7
Discrete Mathematics
CS Foundations
11 lessons · 5 hours