[FTUForum.com] Udemy - Complete linear algebra theory and implementation

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  • 11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 133.29 MB
    14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 130.97 MB
    13. Singular value decomposition/5. Spectral theory of matrices.mp4 116.58 MB
    11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 106.77 MB
    7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 99.72 MB
    12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 99.58 MB
    5. Matrix rank/4. Computing rank theory and practice.mp4 90.33 MB
    6. Matrix spaces/2. Column space of a matrix.mp4 86.5 MB
    9. Matrix inverse/5. Computing the inverse via row reduction.mp4 85.53 MB
    12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 85.51 MB
    11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 81.33 MB
    14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 81.33 MB
    13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 79.2 MB
    13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.mp4 78.72 MB
    2. Vectors/9. Dot product geometry sign and orthogonality.mp4 77.18 MB
    9. Matrix inverse/7. Left inverse and right inverse.mp4 76.67 MB
    4. Matrix multiplications/7. Matrix-vector multiplication.mp4 75.83 MB
    2. Vectors/26. Linear independence.mp4 75.69 MB
    10. Projections and orthogonalization/3. Projections in R^N.mp4 75.55 MB
    13. Singular value decomposition/2. Singular value decomposition (SVD).mp4 74.4 MB
    12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.mp4 73.79 MB
    12. Eigendecomposition/3. Finding eigenvalues.mp4 73.11 MB
    13. Singular value decomposition/7. Convert singular values to percent variance.mp4 72.94 MB
    2. Vectors/22. Subspaces.mp4 69.59 MB
    13. Singular value decomposition/6. SVD for low-rank approximations.mp4 67.66 MB
    10. Projections and orthogonalization/7. Gram-Schmidt and QR decomposition.mp4 67.62 MB
    14. Quadratic form and definiteness/2. The quadratic form in algebra.mp4 65.98 MB
    14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.mp4 65.29 MB
    4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.mp4 65.02 MB
    1. Introductions/1. What is linear algebra.mp4 64.83 MB
    12. Eigendecomposition/7. Finding eigenvectors.mp4 64.81 MB
    12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.mp4 64.79 MB
    14. Quadratic form and definiteness/3. The quadratic form in geometry.mp4 64.71 MB
    6. Matrix spaces/4. Null space and left null space of a matrix.mp4 64.13 MB
    5. Matrix rank/2. Rank concepts, terms, and applications.mp4 62.87 MB
    8. Matrix determinant/6. Code challenge determinant of shifted matrices.mp4 62.47 MB
    12. Eigendecomposition/16. Generalized eigendecomposition.mp4 61.91 MB
    7. Solving systems of equations/4. Gaussian elimination.mp4 61.61 MB
    7. Solving systems of equations/6. Reduced row echelon form.mp4 61.34 MB
    2. Vectors/24. Span.mp4 59.92 MB
    5. Matrix rank/11. Making a matrix full-rank by shifting.mp4 59.9 MB
    5. Matrix rank/5. Rank of added and multiplied matrices.mp4 58.89 MB
    9. Matrix inverse/9. Pseudo-inverse, part 1.mp4 56.05 MB
    12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.mp4 55.81 MB
    5. Matrix rank/7. Code challenge scalar multiplication and rank.mp4 55.71 MB
    2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).mp4 55.5 MB
    10. Projections and orthogonalization/6. Orthogonal matrices.mp4 55.44 MB
    3. Introduction to matrices/4. A zoo of matrices.mp4 55.12 MB
    4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.mp4 54.23 MB
    9. Matrix inverse/2. Matrix inverse Concept and applications.mp4 54.13 MB
    14. Quadratic form and definiteness/9. Matrix definiteness, geometry, and eigenvalues.mp4 53.06 MB
    13. Singular value decomposition/9. Condition number of a matrix.mp4 52.99 MB
    4. Matrix multiplications/9. 2D transformation matrices.mp4 52.49 MB
    9. Matrix inverse/4. The MCA algorithm to compute the inverse.mp4 52.46 MB
    10. Projections and orthogonalization/2. Projections in R^2.mp4 52.35 MB
    12. Eigendecomposition/8. Eigendecomposition by hand two examples.mp4 51.82 MB
    8. Matrix determinant/5. Determinant of a 3x3 matrix.mp4 51.56 MB
    2. Vectors/27. Basis.mp4 50.94 MB
    6. Matrix spaces/7. Example of the four subspaces.mp4 50.25 MB
    13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.mp4 49.77 MB
    4. Matrix multiplications/16. Multiplication of two symmetric matrices.mp4 49.74 MB
    11. Least-squares for model-fitting in statistics/3. Least-squares via left inverse.mp4 49.1 MB
    8. Matrix determinant/2. Determinant concept and applications.mp4 48.01 MB
    2. Vectors/2. Algebraic and geometric interpretations of vectors.mp4 47.98 MB
    10. Projections and orthogonalization/9. Code challenge Inverse via QR.mp4 47.85 MB
    10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.mp4 47.57 MB
    10. Projections and orthogonalization/4. Orthogonal and parallel vector components.mp4 47.44 MB
    12. Eigendecomposition/9. Diagonalization.mp4 47.37 MB
    11. Least-squares for model-fitting in statistics/5. Least-squares via row-reduction.mp4 46.89 MB
    4. Matrix multiplications/2. Introduction to standard matrix multiplication.mp4 45.31 MB
    14. Quadratic form and definiteness/6. Eigenvectors and the quadratic form surface.mp4 45.26 MB
    4. Matrix multiplications/18. Frobenius dot product.mp4 45.14 MB
    5. Matrix rank/9. Rank of A^TA and AA^T.mp4 45.03 MB
    2. Vectors/20. Code challenge dot products with unit vectors.mp4 44.88 MB
    2. Vectors/12. Code challenge dot product sign and scalar multiplication.mp4 44.81 MB
    2. Vectors/16. Vector cross product.mp4 44.38 MB
    2. Vectors/15. Outer product.mp4 42.03 MB
    3. Introduction to matrices/2. Matrix terminology and dimensionality.mp4 40.84 MB
    12. Eigendecomposition/6. Code challenge eigenvalues of random matrices.mp4 39.64 MB
    7. Solving systems of equations/8. Matrix spaces after row reduction.mp4 39.52 MB
    7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.mp4 39.28 MB
    2. Vectors/21. Dimensions and fields in linear algebra.mp4 38.74 MB
    4. Matrix multiplications/3. Four ways to think about matrix multiplication.mp4 37.76 MB
    13. Singular value decomposition/4. SVD and the four subspaces.mp4 37.52 MB
    9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.mp4 37.18 MB
    4. Matrix multiplications/6. Order-of-operations on matrices.mp4 36.81 MB
    3. Introduction to matrices/13. Code challenge linearity of trace.mp4 36.24 MB
    4. Matrix multiplications/4. Code challenge matrix multiplication by layering.mp4 35.63 MB
    11. Least-squares for model-fitting in statistics/4. Least-squares via orthogonal projection.mp4 34.74 MB
    5. Matrix rank/8. Code challenge reduced-rank matrix via multiplication.mp4 34.47 MB
    4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.mp4 34.19 MB
    2. Vectors/17. Vectors with complex numbers.mp4 32.89 MB
    2. Vectors/5. Vector-vector multiplication the dot product.mp4 32.38 MB
    14. Quadratic form and definiteness/4. The normalized quadratic form.mp4 31.77 MB
    14. Quadratic form and definiteness/10. Proof A^TA is always positive (semi)definite.mp4 31.34 MB
    3. Introduction to matrices/9. Transpose.mp4 31.32 MB
    6. Matrix spaces/5. Columnleft-null and rownull spaces are orthogonal.mp4 30.99 MB
    11. Least-squares for model-fitting in statistics/6. Model-predicted values and residuals.mp4 30.92 MB
    5. Matrix rank/10. Code challenge rank of multiplied and summed matrices.mp4 29.96 MB
    1. Introductions/2. Linear algebra applications.mp4 29.58 MB
    7. Solving systems of equations/3. Converting systems of equations to matrix equations.mp4 29.43 MB
    2. Vectors/4. Vector-scalar multiplication.mp4 29.42 MB
    2. Vectors/23. Subspaces vs. subsets.mp4 29.06 MB
    6. Matrix spaces/8. More on Ax=b and Ax=0.mp4 28.47 MB
    2. Vectors/13. Code challenge is the dot product commutative.mp4 27.52 MB
    8. Matrix determinant/4. Determinant of a 2x2 matrix.mp4 27.45 MB
    3. Introduction to matrices/12. Diagonal and trace.mp4 27.24 MB
    3. Introduction to matrices/6. Matrix addition and subtraction.mp4 27.07 MB
    1. Introductions/3. How best to learn from this course.mp4 26.98 MB
    6. Matrix spaces/6. Dimensions of columnrownull spaces.mp4 26.83 MB
    9. Matrix inverse/3. Inverse of a 2x2 matrix.mp4 26.55 MB
    2. Vectors/19. Interpreting and creating unit vectors.mp4 26.54 MB
    7. Solving systems of equations/5. Echelon form and pivots.mp4 26.42 MB
    2. Vectors/3. Vector addition and subtraction.mp4 25.82 MB
    12. Eigendecomposition/5. Code challenge eigenvalues of diagonal and triangular matrices.mp4 25.62 MB
    3. Introduction to matrices/8. Code challenge is matrix-scalar multiplication a linear operation.mp4 25.27 MB
    4. Matrix multiplications/11. Additive and multiplicative matrix identities.mp4 25.26 MB
    8. Matrix determinant/3. Code challenge determinant of small and large singular matrices.mp4 25.04 MB
    5. Matrix rank/12. Code challenge is this vector in the span of this set.mp4 24.39 MB
    12. Eigendecomposition/15. Code challenge trace and determinant, eigenvalues sum and product.mp4 24.12 MB
    2. Vectors/7. Vector length.mp4 23.82 MB
    2. Vectors/6. Code challenge dot products with matrix columns.mp4 23.05 MB
    1. Introductions/4. Using MATLAB, Octave, or Python in this course.mp4 21.2 MB
    8. Matrix determinant/7. Find matrix values for a given determinant.mp4 20.6 MB
    4. Matrix multiplications/17. Code challenge standard and Hadamard multiplication for diagonal matrices.mp4 19.94 MB
    6. Matrix spaces/3. Row space of a matrix.mp4 19.31 MB
    4. Matrix multiplications/5. Matrix multiplication with a diagonal matrix.mp4 18.55 MB
    1. Introductions/5. Leaving reviews, course coupons.mp4 17.84 MB
    12. Eigendecomposition/14. Eigendecomposition of singular matrices.mp4 15.75 MB
    4. Matrix multiplications/19. What about matrix division.mp4 14.08 MB
    9. Matrix inverse/8. Proof the inverse is unique.mp4 14.05 MB
    10. Projections and orthogonalization/8. Matrix inverse via QR decomposition.mp4 13.39 MB
    9. Matrix inverse/10. Code challenge pseudoinverse of invertible matrices.mp4 13.36 MB
    2. Vectors/14. Vector Hadamard multiplication.mp4 12.14 MB
    4. Matrix multiplications/13. Hadamard (element-wise) multiplication.mp4 11.93 MB
    12. Eigendecomposition/4. Shortcut for eigenvalues of a 2x2 matrix.mp4 8.63 MB
    3. Introduction to matrices/7. Matrix-scalar multiplication.mp4 7.97 MB
    3. Introduction to matrices/10. Complex matrices.mp4 6.77 MB
    2. Vectors/1.1 linalg_vectors.zip.zip 385.18 KB
    13. Singular value decomposition/1.1 linalg_svd.zip.zip 330.96 KB
    11. Least-squares for model-fitting in statistics/1.1 linalg_leastsquares.zip.zip 315.41 KB
    12. Eigendecomposition/1.1 linalg_eig.zip.zip 302.56 KB
    10. Projections and orthogonalization/1.1 linalg_projorth.zip.zip 288.29 KB
    14. Quadratic form and definiteness/1.1 linalg_quadformDefinite.zip.zip 264.43 KB
    9. Matrix inverse/1.1 linalg_inverse.zip.zip 225.8 KB
    4. Matrix multiplications/1.1 linalg_matrixMult.zip.zip 214.85 KB
    7. Solving systems of equations/1.1 linalg_systems.zip.zip 211.22 KB
    6. Matrix spaces/1.1 linalg_matrixSpaces.zip.zip 209.95 KB
    5. Matrix rank/1.1 linalg_matrixRank.zip.zip 179.67 KB
    3. Introduction to matrices/1.1 linalg_matrices.zip.zip 166.28 KB
    8. Matrix determinant/1.1 linalg_matrixDet.pdf.pdf 138.29 KB
    11. Least-squares for model-fitting in statistics/8. Least-squares application 2.srt 23.05 KB
    9. Matrix inverse/5. Computing the inverse via row reduction.srt 21.74 KB
    5. Matrix rank/4. Computing rank theory and practice.srt 21 KB
    14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.srt 20.4 KB
    11. Least-squares for model-fitting in statistics/8. Least-squares application 2.vtt 20.25 KB
    12. Eigendecomposition/10. Matrix powers via diagonalization.srt 19.99 KB
    6. Matrix spaces/2. Column space of a matrix.srt 19.8 KB
    10. Projections and orthogonalization/7. Gram-Schmidt and QR decomposition.srt 19.71 KB
    2. Vectors/9. Dot product geometry sign and orthogonality.srt 19.69 KB
    12. Eigendecomposition/3. Finding eigenvalues.srt 19.39 KB
    2. Vectors/26. Linear independence.srt 19.33 KB
    9. Matrix inverse/5. Computing the inverse via row reduction.vtt 18.91 KB
    2. Vectors/22. Subspaces.srt 18.65 KB
    4. Matrix multiplications/7. Matrix-vector multiplication.srt 18.64 KB
    7. Solving systems of equations/2. Systems of equations algebra and geometry.srt 18.55 KB
    5. Matrix rank/4. Computing rank theory and practice.vtt 18.36 KB
    12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.srt 18.14 KB
    14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.vtt 17.94 KB
    10. Projections and orthogonalization/3. Projections in R^N.srt 17.75 KB
    12. Eigendecomposition/10. Matrix powers via diagonalization.vtt 17.42 KB
    6. Matrix spaces/2. Column space of a matrix.vtt 17.34 KB
    2. Vectors/9. Dot product geometry sign and orthogonality.vtt 17.31 KB
    7. Solving systems of equations/6. Reduced row echelon form.srt 17.25 KB
    10. Projections and orthogonalization/7. Gram-Schmidt and QR decomposition.vtt 17.14 KB
    9. Matrix inverse/7. Left inverse and right inverse.srt 17.04 KB
    12. Eigendecomposition/2. What are eigenvalues and eigenvectors.srt 17.02 KB
    10. Projections and orthogonalization/6. Orthogonal matrices.srt 16.99 KB
    2. Vectors/26. Linear independence.vtt 16.98 KB
    12. Eigendecomposition/3. Finding eigenvalues.vtt 16.93 KB
    6. Matrix spaces/4. Null space and left null space of a matrix.srt 16.73 KB
    5. Matrix rank/7. Code challenge scalar multiplication and rank.srt 16.66 KB
    11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.srt 16.53 KB
    4. Matrix multiplications/7. Matrix-vector multiplication.vtt 16.38 KB
    2. Vectors/22. Subspaces.vtt 16.36 KB
    7. Solving systems of equations/2. Systems of equations algebra and geometry.vtt 16.13 KB
    8. Matrix determinant/6. Code challenge determinant of shifted matrices.srt 15.91 KB
    12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.vtt 15.86 KB
    13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.srt 15.65 KB
    13. Singular value decomposition/2. Singular value decomposition (SVD).srt 15.56 KB
    10. Projections and orthogonalization/3. Projections in R^N.vtt 15.5 KB
    7. Solving systems of equations/4. Gaussian elimination.srt 15.32 KB
    13. Singular value decomposition/5. Spectral theory of matrices.srt 15.23 KB
    7. Solving systems of equations/6. Reduced row echelon form.vtt 15.14 KB
    12. Eigendecomposition/7. Finding eigenvectors.srt 15.08 KB
    11. Least-squares for model-fitting in statistics/7. Least-squares application 1.srt 15.05 KB
    2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).srt 15.02 KB
    12. Eigendecomposition/2. What are eigenvalues and eigenvectors.vtt 15.01 KB
    10. Projections and orthogonalization/6. Orthogonal matrices.vtt 14.92 KB
    9. Matrix inverse/2. Matrix inverse Concept and applications.srt 14.92 KB
    9. Matrix inverse/7. Left inverse and right inverse.vtt 14.88 KB
    12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.srt 14.86 KB
    6. Matrix spaces/4. Null space and left null space of a matrix.vtt 14.72 KB
    14. Quadratic form and definiteness/2. The quadratic form in algebra.srt 14.7 KB
    14. Quadratic form and definiteness/3. The quadratic form in geometry.srt 14.66 KB
    4. Matrix multiplications/9. 2D transformation matrices.srt 14.65 KB
    13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.srt 14.61 KB
    13. Singular value decomposition/7. Convert singular values to percent variance.srt 14.54 KB
    4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.srt 14.53 KB
    11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.vtt 14.52 KB
    2. Vectors/12. Code challenge dot product sign and scalar multiplication.srt 14.41 KB
    5. Matrix rank/7. Code challenge scalar multiplication and rank.vtt 14.39 KB
    8. Matrix determinant/5. Determinant of a 3x3 matrix.srt 14.3 KB
    10. Projections and orthogonalization/4. Orthogonal and parallel vector components.srt 14.19 KB
    9. Matrix inverse/4. The MCA algorithm to compute the inverse.srt 14.19 KB
    3. Introduction to matrices/4. A zoo of matrices.srt 14.14 KB
    12. Eigendecomposition/8. Eigendecomposition by hand two examples.srt 14.12 KB
    2. Vectors/27. Basis.srt 14.11 KB
    5. Matrix rank/5. Rank of added and multiplied matrices.srt 13.92 KB
    8. Matrix determinant/6. Code challenge determinant of shifted matrices.vtt 13.84 KB
    2. Vectors/24. Span.srt 13.79 KB
    14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.srt 13.72 KB
    13. Singular value decomposition/2. Singular value decomposition (SVD).vtt 13.63 KB
    13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.vtt 13.6 KB
    7. Solving systems of equations/4. Gaussian elimination.vtt 13.49 KB
    5. Matrix rank/11. Making a matrix full-rank by shifting.srt 13.47 KB
    4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.srt 13.46 KB
    13. Singular value decomposition/5. Spectral theory of matrices.vtt 13.43 KB
    12. Eigendecomposition/16. Generalized eigendecomposition.srt 13.38 KB
    5. Matrix rank/2. Rank concepts, terms, and applications.srt 13.34 KB
    12. Eigendecomposition/7. Finding eigenvectors.vtt 13.29 KB
    6. Matrix spaces/7. Example of the four subspaces.srt 13.29 KB
    11. Least-squares for model-fitting in statistics/5. Least-squares via row-reduction.srt 13.2 KB
    11. Least-squares for model-fitting in statistics/7. Least-squares application 1.vtt 13.17 KB
    2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).vtt 13.16 KB
    13. Singular value decomposition/6. SVD for low-rank approximations.srt 13.09 KB
    9. Matrix inverse/2. Matrix inverse Concept and applications.vtt 13.06 KB
    14. Quadratic form and definiteness/2. The quadratic form in algebra.vtt 12.97 KB
    2. Vectors/20. Code challenge dot products with unit vectors.srt 12.93 KB
    12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.vtt 12.9 KB
    14. Quadratic form and definiteness/3. The quadratic form in geometry.vtt 12.87 KB
    5. Matrix rank/9. Rank of A^TA and AA^T.srt 12.87 KB
    4. Matrix multiplications/9. 2D transformation matrices.vtt 12.85 KB
    4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.vtt 12.81 KB
    13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.vtt 12.8 KB
    11. Least-squares for model-fitting in statistics/3. Least-squares via left inverse.srt 12.76 KB
    13. Singular value decomposition/7. Convert singular values to percent variance.vtt 12.73 KB
    4. Matrix multiplications/3. Four ways to think about matrix multiplication.srt 12.58 KB
    2. Vectors/12. Code challenge dot product sign and scalar multiplication.vtt 12.56 KB
    8. Matrix determinant/5. Determinant of a 3x3 matrix.vtt 12.55 KB
    3. Introduction to matrices/4. A zoo of matrices.vtt 12.53 KB
    10. Projections and orthogonalization/4. Orthogonal and parallel vector components.vtt 12.49 KB
    2. Vectors/27. Basis.vtt 12.49 KB
    12. Eigendecomposition/9. Diagonalization.srt 12.47 KB
    9. Matrix inverse/4. The MCA algorithm to compute the inverse.vtt 12.46 KB
    14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.srt 12.43 KB
    4. Matrix multiplications/16. Multiplication of two symmetric matrices.srt 12.33 KB
    10. Projections and orthogonalization/2. Projections in R^2.srt 12.31 KB
    12. Eigendecomposition/8. Eigendecomposition by hand two examples.vtt 12.31 KB
    5. Matrix rank/5. Rank of added and multiplied matrices.vtt 12.22 KB
    2. Vectors/24. Span.vtt 12.11 KB
    14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.vtt 12.01 KB
    2. Vectors/2. Algebraic and geometric interpretations of vectors.srt 11.94 KB
    5. Matrix rank/2. Rank concepts, terms, and applications.vtt 11.82 KB
    5. Matrix rank/11. Making a matrix full-rank by shifting.vtt 11.75 KB
    13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.srt 11.74 KB
    12. Eigendecomposition/16. Generalized eigendecomposition.vtt 11.74 KB
    4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.vtt 11.74 KB
    11. Least-squares for model-fitting in statistics/5. Least-squares via row-reduction.vtt 11.62 KB
    6. Matrix spaces/7. Example of the four subspaces.vtt 11.61 KB
    13. Singular value decomposition/6. SVD for low-rank approximations.vtt 11.39 KB
    5. Matrix rank/9. Rank of A^TA and AA^T.vtt 11.37 KB
    2. Vectors/20. Code challenge dot products with unit vectors.vtt 11.31 KB
    11. Least-squares for model-fitting in statistics/3. Least-squares via left inverse.vtt 11.21 KB
    9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.srt 11.14 KB
    4. Matrix multiplications/3. Four ways to think about matrix multiplication.vtt 11.11 KB
    12. Eigendecomposition/9. Diagonalization.vtt 10.99 KB
    14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.vtt 10.97 KB
    4. Matrix multiplications/16. Multiplication of two symmetric matrices.vtt 10.84 KB
    12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.srt 10.84 KB
    3. Introduction to matrices/13. Code challenge linearity of trace.srt 10.78 KB
    10. Projections and orthogonalization/2. Projections in R^2.vtt 10.71 KB
    7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.srt 10.58 KB
    4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.srt 10.54 KB
    2. Vectors/15. Outer product.srt 10.5 KB
    2. Vectors/2. Algebraic and geometric interpretations of vectors.vtt 10.5 KB
    13. Singular value decomposition/9. Condition number of a matrix.srt 10.45 KB
    10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.srt 10.44 KB
    4. Matrix multiplications/18. Frobenius dot product.srt 10.32 KB
    13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.vtt 10.31 KB
    4. Matrix multiplications/4. Code challenge matrix multiplication by layering.srt 10.27 KB
    4. Matrix multiplications/2. Introduction to standard matrix multiplication.srt 10.21 KB
    14. Quadratic form and definiteness/9. Matrix definiteness, geometry, and eigenvalues.srt 10.18 KB
    2. Vectors/17. Vectors with complex numbers.srt 10.02 KB
    1. Introductions/1. What is linear algebra.srt 9.96 KB
    9. Matrix inverse/9. Pseudo-inverse, part 1.srt 9.93 KB
    7. Solving systems of equations/8. Matrix spaces after row reduction.srt 9.83 KB
    5. Matrix rank/8. Code challenge reduced-rank matrix via multiplication.srt 9.81 KB
    11. Least-squares for model-fitting in statistics/4. Least-squares via orthogonal projection.srt 9.78 KB
    9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.vtt 9.77 KB
    3. Introduction to matrices/2. Matrix terminology and dimensionality.srt 9.76 KB
    2. Vectors/21. Dimensions and fields in linear algebra.srt 9.66 KB
    7. Solving systems of equations/5. Echelon form and pivots.srt 9.52 KB
    12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.vtt 9.51 KB
    3. Introduction to matrices/13. Code challenge linearity of trace.vtt 9.41 KB
    13. Singular value decomposition/4. SVD and the four subspaces.srt 9.39 KB
    10. Projections and orthogonalization/9. Code challenge Inverse via QR.srt 9.3 KB
    2. Vectors/13. Code challenge is the dot product commutative.srt 9.3 KB
    2. Vectors/5. Vector-vector multiplication the dot product.srt 9.29 KB
    4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.vtt 9.29 KB
    2. Vectors/15. Outer product.vtt 9.27 KB
    7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.vtt 9.25 KB
    13. Singular value decomposition/9. Condition number of a matrix.vtt 9.22 KB
    4. Matrix multiplications/18. Frobenius dot product.vtt 9.18 KB
    10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.vtt 9.08 KB
    8. Matrix determinant/4. Determinant of a 2x2 matrix.srt 9.06 KB
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