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Linear Algebra

Matrices, vector spaces, linear maps, and eigenvalues

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  1. World 38Locked

    Matrices & row reduction

    Row reduction, invertibility, and reduced row echelon form

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  2. World 39Locked

    Vector spaces

    Subspaces, bases, and the rank-nullity theorem

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  3. World 40Locked

    Linear maps

    Linear transformations and matrix representations

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  4. World 41Locked

    Eigen & orthogonality

    Eigenvalues, diagonalization, Gram–Schmidt, least squares, and a light intro to SVD

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