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Linear algebra, the visual way

Vectors, matrices and eigenvectors you can actually picture.

Build a real intuition for linear algebra: vectors, span, linear transformations, matrix multiplication, determinants, inverses and eigenvectors, with 3Blue1Brown's Essence of Linear Algebra and Gilbert Strang's first MIT 18.06 lecture.

beginnerabout 2 weeks at 40 min a day8 free sources

What you'll cover

  1. Phase 1

    Vectors and transformations

    • Vectors
    • Linear combinations, span and basis
    • Linear transformations as matrices
    • Matrix multiplication as composition

  2. Phase 2

    What matrices tell you

    • The determinant
    • Inverses, column space and null space
    • Systems of equations

  3. Phase 3

    Eigen-everything

    • Eigenvectors and eigenvalues
    • Why they matter

An outline. Your own plan is made when you start, around your level and deadline.

Sources

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