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

Creation Time	Dec. 16, 2023, 8:35 p.m.
Last Access Time	Sept. 17, 2024, 2:51 p.m.
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Keywords	and linear algebra implementation FTUForum - Udemy theory com Complete
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Total Files	457
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11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 133.3 MB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 131.0 MB
13. Singular value decomposition/5. Spectral theory of matrices.mp4 116.6 MB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 106.8 MB
7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 99.7 MB
12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 99.6 MB
5. Matrix rank/4. Computing rank theory and practice.mp4 90.3 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 85.5 MB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 85.5 MB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 81.3 MB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 81.3 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 78.7 MB
2. Vectors/9. Dot product geometry sign and orthogonality.mp4 77.2 MB
9. Matrix inverse/7. Left inverse and right inverse.mp4 76.7 MB
4. Matrix multiplications/7. Matrix-vector multiplication.mp4 75.8 MB
2. Vectors/26. Linear independence.mp4 75.7 MB
10. Projections and orthogonalization/3. Projections in R^N.mp4 75.5 MB
13. Singular value decomposition/2. Singular value decomposition (SVD).mp4 74.4 MB
12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.mp4 73.8 MB
12. Eigendecomposition/3. Finding eigenvalues.mp4 73.1 MB
13. Singular value decomposition/7. Convert singular values to percent variance.mp4 72.9 MB
2. Vectors/22. Subspaces.mp4 69.6 MB
13. Singular value decomposition/6. SVD for low-rank approximations.mp4 67.7 MB
10. Projections and orthogonalization/7. Gram-Schmidt and QR decomposition.mp4 67.6 MB
14. Quadratic form and definiteness/2. The quadratic form in algebra.mp4 66.0 MB
14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.mp4 65.3 MB
4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.mp4 65.0 MB
1. Introductions/1. What is linear algebra.mp4 64.8 MB
12. Eigendecomposition/7. Finding eigenvectors.mp4 64.8 MB
12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.mp4 64.8 MB
14. Quadratic form and definiteness/3. The quadratic form in geometry.mp4 64.7 MB
6. Matrix spaces/4. Null space and left null space of a matrix.mp4 64.1 MB
5. Matrix rank/2. Rank concepts, terms, and applications.mp4 62.9 MB
8. Matrix determinant/6. Code challenge determinant of shifted matrices.mp4 62.5 MB
12. Eigendecomposition/16. Generalized eigendecomposition.mp4 61.9 MB
7. Solving systems of equations/4. Gaussian elimination.mp4 61.6 MB
7. Solving systems of equations/6. Reduced row echelon form.mp4 61.3 MB
2. Vectors/24. Span.mp4 59.9 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 58.9 MB
9. Matrix inverse/9. Pseudo-inverse, part 1.mp4 56.1 MB
12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.mp4 55.8 MB
5. Matrix rank/7. Code challenge scalar multiplication and rank.mp4 55.7 MB
2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).mp4 55.5 MB
10. Projections and orthogonalization/6. Orthogonal matrices.mp4 55.4 MB
3. Introduction to matrices/4. A zoo of matrices.mp4 55.1 MB
4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.mp4 54.2 MB
9. Matrix inverse/2. Matrix inverse Concept and applications.mp4 54.1 MB
14. Quadratic form and definiteness/9. Matrix definiteness, geometry, and eigenvalues.mp4 53.1 MB
13. Singular value decomposition/9. Condition number of a matrix.mp4 53.0 MB
4. Matrix multiplications/9. 2D transformation matrices.mp4 52.5 MB
9. Matrix inverse/4. The MCA algorithm to compute the inverse.mp4 52.5 MB
10. Projections and orthogonalization/2. Projections in R^2.mp4 52.3 MB
12. Eigendecomposition/8. Eigendecomposition by hand two examples.mp4 51.8 MB
8. Matrix determinant/5. Determinant of a 3x3 matrix.mp4 51.6 MB
2. Vectors/27. Basis.mp4 50.9 MB
6. Matrix spaces/7. Example of the four subspaces.mp4 50.2 MB
13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.mp4 49.8 MB
4. Matrix multiplications/16. Multiplication of two symmetric matrices.mp4 49.7 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 48.0 MB
2. Vectors/2. Algebraic and geometric interpretations of vectors.mp4 48.0 MB
10. Projections and orthogonalization/9. Code challenge Inverse via QR.mp4 47.8 MB
10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.mp4 47.6 MB
10. Projections and orthogonalization/4. Orthogonal and parallel vector components.mp4 47.4 MB
12. Eigendecomposition/9. Diagonalization.mp4 47.4 MB
11. Least-squares for model-fitting in statistics/5. Least-squares via row-reduction.mp4 46.9 MB
4. Matrix multiplications/2. Introduction to standard matrix multiplication.mp4 45.3 MB
14. Quadratic form and definiteness/6. Eigenvectors and the quadratic form surface.mp4 45.3 MB
4. Matrix multiplications/18. Frobenius dot product.mp4 45.1 MB
5. Matrix rank/9. Rank of A^TA and AA^T.mp4 45.0 MB
2. Vectors/20. Code challenge dot products with unit vectors.mp4 44.9 MB
2. Vectors/12. Code challenge dot product sign and scalar multiplication.mp4 44.8 MB
2. Vectors/16. Vector cross product.mp4 44.4 MB
2. Vectors/15. Outer product.mp4 42.0 MB
3. Introduction to matrices/2. Matrix terminology and dimensionality.mp4 40.8 MB
12. Eigendecomposition/6. Code challenge eigenvalues of random matrices.mp4 39.6 MB
7. Solving systems of equations/8. Matrix spaces after row reduction.mp4 39.5 MB
7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.mp4 39.3 MB
2. Vectors/21. Dimensions and fields in linear algebra.mp4 38.7 MB
4. Matrix multiplications/3. Four ways to think about matrix multiplication.mp4 37.8 MB
13. Singular value decomposition/4. SVD and the four subspaces.mp4 37.5 MB
9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.mp4 37.2 MB
4. Matrix multiplications/6. Order-of-operations on matrices.mp4 36.8 MB
3. Introduction to matrices/13. Code challenge linearity of trace.mp4 36.2 MB
4. Matrix multiplications/4. Code challenge matrix multiplication by layering.mp4 35.6 MB
11. Least-squares for model-fitting in statistics/4. Least-squares via orthogonal projection.mp4 34.7 MB
5. Matrix rank/8. Code challenge reduced-rank matrix via multiplication.mp4 34.5 MB
4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.mp4 34.2 MB
2. Vectors/17. Vectors with complex numbers.mp4 32.9 MB
2. Vectors/5. Vector-vector multiplication the dot product.mp4 32.4 MB
14. Quadratic form and definiteness/4. The normalized quadratic form.mp4 31.8 MB
14. Quadratic form and definiteness/10. Proof A^TA is always positive (semi)definite.mp4 31.3 MB
3. Introduction to matrices/9. Transpose.mp4 31.3 MB
6. Matrix spaces/5. Columnleft-null and rownull spaces are orthogonal.mp4 31.0 MB
11. Least-squares for model-fitting in statistics/6. Model-predicted values and residuals.mp4 30.9 MB
5. Matrix rank/10. Code challenge rank of multiplied and summed matrices.mp4 30.0 MB
1. Introductions/2. Linear algebra applications.mp4 29.6 MB
7. Solving systems of equations/3. Converting systems of equations to matrix equations.mp4 29.4 MB
2. Vectors/4. Vector-scalar multiplication.mp4 29.4 MB
2. Vectors/23. Subspaces vs. subsets.mp4 29.1 MB
6. Matrix spaces/8. More on Ax=b and Ax=0.mp4 28.5 MB
2. Vectors/13. Code challenge is the dot product commutative.mp4 27.5 MB
8. Matrix determinant/4. Determinant of a 2x2 matrix.mp4 27.5 MB
3. Introduction to matrices/12. Diagonal and trace.mp4 27.2 MB
3. Introduction to matrices/6. Matrix addition and subtraction.mp4 27.1 MB
1. Introductions/3. How best to learn from this course.mp4 27.0 MB
6. Matrix spaces/6. Dimensions of columnrownull spaces.mp4 26.8 MB
9. Matrix inverse/3. Inverse of a 2x2 matrix.mp4 26.6 MB
2. Vectors/19. Interpreting and creating unit vectors.mp4 26.5 MB
7. Solving systems of equations/5. Echelon form and pivots.mp4 26.4 MB
2. Vectors/3. Vector addition and subtraction.mp4 25.8 MB
12. Eigendecomposition/5. Code challenge eigenvalues of diagonal and triangular matrices.mp4 25.6 MB
3. Introduction to matrices/8. Code challenge is matrix-scalar multiplication a linear operation.mp4 25.3 MB
4. Matrix multiplications/11. Additive and multiplicative matrix identities.mp4 25.3 MB
8. Matrix determinant/3. Code challenge determinant of small and large singular matrices.mp4 25.0 MB
5. Matrix rank/12. Code challenge is this vector in the span of this set.mp4 24.4 MB
12. Eigendecomposition/15. Code challenge trace and determinant, eigenvalues sum and product.mp4 24.1 MB
2. Vectors/7. Vector length.mp4 23.8 MB
2. Vectors/6. Code challenge dot products with matrix columns.mp4 23.0 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 19.9 MB
6. Matrix spaces/3. Row space of a matrix.mp4 19.3 MB
4. Matrix multiplications/5. Matrix multiplication with a diagonal matrix.mp4 18.5 MB
1. Introductions/5. Leaving reviews, course coupons.mp4 17.8 MB
12. Eigendecomposition/14. Eigendecomposition of singular matrices.mp4 15.7 MB
4. Matrix multiplications/19. What about matrix division.mp4 14.1 MB
9. Matrix inverse/8. Proof the inverse is unique.mp4 14.1 MB
10. Projections and orthogonalization/8. Matrix inverse via QR decomposition.mp4 13.4 MB
9. Matrix inverse/10. Code challenge pseudoinverse of invertible matrices.mp4 13.4 MB
2. Vectors/14. Vector Hadamard multiplication.mp4 12.1 MB
4. Matrix multiplications/13. Hadamard (element-wise) multiplication.mp4 11.9 MB
12. Eigendecomposition/4. Shortcut for eigenvalues of a 2x2 matrix.mp4 8.6 MB
3. Introduction to matrices/7. Matrix-scalar multiplication.mp4 8.0 MB
3. Introduction to matrices/10. Complex matrices.mp4 6.8 MB
2. Vectors/1.1 linalg_vectors.zip.zip 385.2 KB
13. Singular value decomposition/1.1 linalg_svd.zip.zip 331.0 KB
11. Least-squares for model-fitting in statistics/1.1 linalg_leastsquares.zip.zip 315.4 KB
12. Eigendecomposition/1.1 linalg_eig.zip.zip 302.6 KB
10. Projections and orthogonalization/1.1 linalg_projorth.zip.zip 288.3 KB
14. Quadratic form and definiteness/1.1 linalg_quadformDefinite.zip.zip 264.4 KB
9. Matrix inverse/1.1 linalg_inverse.zip.zip 225.8 KB
4. Matrix multiplications/1.1 linalg_matrixMult.zip.zip 214.9 KB
7. Solving systems of equations/1.1 linalg_systems.zip.zip 211.2 KB
6. Matrix spaces/1.1 linalg_matrixSpaces.zip.zip 209.9 KB
5. Matrix rank/1.1 linalg_matrixRank.zip.zip 179.7 KB
3. Introduction to matrices/1.1 linalg_matrices.zip.zip 166.3 KB
8. Matrix determinant/1.1 linalg_matrixDet.pdf.pdf 138.3 KB
11. Least-squares for model-fitting in statistics/8. Least-squares application 2.srt 23.0 KB
9. Matrix inverse/5. Computing the inverse via row reduction.srt 21.7 KB
5. Matrix rank/4. Computing rank theory and practice.srt 21.0 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 20.2 KB
12. Eigendecomposition/10. Matrix powers via diagonalization.srt 20.0 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 19.7 KB
2. Vectors/9. Dot product geometry sign and orthogonality.srt 19.7 KB
12. Eigendecomposition/3. Finding eigenvalues.srt 19.4 KB
2. Vectors/26. Linear independence.srt 19.3 KB
9. Matrix inverse/5. Computing the inverse via row reduction.vtt 18.9 KB
2. Vectors/22. Subspaces.srt 18.7 KB
4. Matrix multiplications/7. Matrix-vector multiplication.srt 18.6 KB
7. Solving systems of equations/2. Systems of equations algebra and geometry.srt 18.5 KB
5. Matrix rank/4. Computing rank theory and practice.vtt 18.4 KB
12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.srt 18.1 KB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.vtt 17.9 KB
10. Projections and orthogonalization/3. Projections in R^N.srt 17.8 KB
12. Eigendecomposition/10. Matrix powers via diagonalization.vtt 17.4 KB
6. Matrix spaces/2. Column space of a matrix.vtt 17.3 KB
2. Vectors/9. Dot product geometry sign and orthogonality.vtt 17.3 KB
7. Solving systems of equations/6. Reduced row echelon form.srt 17.2 KB
10. Projections and orthogonalization/7. Gram-Schmidt and QR decomposition.vtt 17.1 KB
9. Matrix inverse/7. Left inverse and right inverse.srt 17.0 KB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.srt 17.0 KB
10. Projections and orthogonalization/6. Orthogonal matrices.srt 17.0 KB
2. Vectors/26. Linear independence.vtt 17.0 KB
12. Eigendecomposition/3. Finding eigenvalues.vtt 16.9 KB
6. Matrix spaces/4. Null space and left null space of a matrix.srt 16.7 KB
5. Matrix rank/7. Code challenge scalar multiplication and rank.srt 16.7 KB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.srt 16.5 KB
4. Matrix multiplications/7. Matrix-vector multiplication.vtt 16.4 KB
2. Vectors/22. Subspaces.vtt 16.4 KB
7. Solving systems of equations/2. Systems of equations algebra and geometry.vtt 16.1 KB
8. Matrix determinant/6. Code challenge determinant of shifted matrices.srt 15.9 KB
12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.vtt 15.9 KB
13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.srt 15.7 KB
13. Singular value decomposition/2. Singular value decomposition (SVD).srt 15.6 KB
10. Projections and orthogonalization/3. Projections in R^N.vtt 15.5 KB
7. Solving systems of equations/4. Gaussian elimination.srt 15.3 KB
13. Singular value decomposition/5. Spectral theory of matrices.srt 15.2 KB
7. Solving systems of equations/6. Reduced row echelon form.vtt 15.1 KB
12. Eigendecomposition/7. Finding eigenvectors.srt 15.1 KB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.srt 15.0 KB
2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).srt 15.0 KB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.vtt 15.0 KB
10. Projections and orthogonalization/6. Orthogonal matrices.vtt 14.9 KB
9. Matrix inverse/2. Matrix inverse Concept and applications.srt 14.9 KB
9. Matrix inverse/7. Left inverse and right inverse.vtt 14.9 KB
12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.srt 14.9 KB
6. Matrix spaces/4. Null space and left null space of a matrix.vtt 14.7 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 14.7 KB
4. Matrix multiplications/9. 2D transformation matrices.srt 14.7 KB
13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.srt 14.6 KB
13. Singular value decomposition/7. Convert singular values to percent variance.srt 14.5 KB
4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.srt 14.5 KB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.vtt 14.5 KB
2. Vectors/12. Code challenge dot product sign and scalar multiplication.srt 14.4 KB
5. Matrix rank/7. Code challenge scalar multiplication and rank.vtt 14.4 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 14.2 KB
9. Matrix inverse/4. The MCA algorithm to compute the inverse.srt 14.2 KB
3. Introduction to matrices/4. A zoo of matrices.srt 14.1 KB
12. Eigendecomposition/8. Eigendecomposition by hand two examples.srt 14.1 KB
2. Vectors/27. Basis.srt 14.1 KB
5. Matrix rank/5. Rank of added and multiplied matrices.srt 13.9 KB
8. Matrix determinant/6. Code challenge determinant of shifted matrices.vtt 13.8 KB
2. Vectors/24. Span.srt 13.8 KB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.srt 13.7 KB
13. Singular value decomposition/2. Singular value decomposition (SVD).vtt 13.6 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 13.5 KB
5. Matrix rank/11. Making a matrix full-rank by shifting.srt 13.5 KB
4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.srt 13.5 KB
13. Singular value decomposition/5. Spectral theory of matrices.vtt 13.4 KB
12. Eigendecomposition/16. Generalized eigendecomposition.srt 13.4 KB
5. Matrix rank/2. Rank concepts, terms, and applications.srt 13.3 KB
12. Eigendecomposition/7. Finding eigenvectors.vtt 13.3 KB
6. Matrix spaces/7. Example of the four subspaces.srt 13.3 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 13.2 KB
2. Vectors/18. Hermitian transpose (a.k.a. conjugate transpose).vtt 13.2 KB
13. Singular value decomposition/6. SVD for low-rank approximations.srt 13.1 KB
9. Matrix inverse/2. Matrix inverse Concept and applications.vtt 13.1 KB
14. Quadratic form and definiteness/2. The quadratic form in algebra.vtt 13.0 KB
2. Vectors/20. Code challenge dot products with unit vectors.srt 12.9 KB
12. Eigendecomposition/12. Eigenvectors of repeated eigenvalues.vtt 12.9 KB
14. Quadratic form and definiteness/3. The quadratic form in geometry.vtt 12.9 KB
5. Matrix rank/9. Rank of A^TA and AA^T.srt 12.9 KB
4. Matrix multiplications/9. 2D transformation matrices.vtt 12.8 KB
4. Matrix multiplications/12. Additive and multiplicative symmetric matrices.vtt 12.8 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 12.8 KB
13. Singular value decomposition/7. Convert singular values to percent variance.vtt 12.7 KB
4. Matrix multiplications/3. Four ways to think about matrix multiplication.srt 12.6 KB
2. Vectors/12. Code challenge dot product sign and scalar multiplication.vtt 12.6 KB
8. Matrix determinant/5. Determinant of a 3x3 matrix.vtt 12.6 KB
3. Introduction to matrices/4. A zoo of matrices.vtt 12.5 KB
10. Projections and orthogonalization/4. Orthogonal and parallel vector components.vtt 12.5 KB
2. Vectors/27. Basis.vtt 12.5 KB
12. Eigendecomposition/9. Diagonalization.srt 12.5 KB
9. Matrix inverse/4. The MCA algorithm to compute the inverse.vtt 12.5 KB
14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.srt 12.4 KB
4. Matrix multiplications/16. Multiplication of two symmetric matrices.srt 12.3 KB
10. Projections and orthogonalization/2. Projections in R^2.srt 12.3 KB
12. Eigendecomposition/8. Eigendecomposition by hand two examples.vtt 12.3 KB
5. Matrix rank/5. Rank of added and multiplied matrices.vtt 12.2 KB
2. Vectors/24. Span.vtt 12.1 KB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.vtt 12.0 KB
2. Vectors/2. Algebraic and geometric interpretations of vectors.srt 11.9 KB
5. Matrix rank/2. Rank concepts, terms, and applications.vtt 11.8 KB
5. Matrix rank/11. Making a matrix full-rank by shifting.vtt 11.8 KB
13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.srt 11.7 KB
12. Eigendecomposition/16. Generalized eigendecomposition.vtt 11.7 KB
4. Matrix multiplications/10. Code challenge Pure and impure rotation matrices.vtt 11.7 KB
11. Least-squares for model-fitting in statistics/5. Least-squares via row-reduction.vtt 11.6 KB
6. Matrix spaces/7. Example of the four subspaces.vtt 11.6 KB
13. Singular value decomposition/6. SVD for low-rank approximations.vtt 11.4 KB
5. Matrix rank/9. Rank of A^TA and AA^T.vtt 11.4 KB
2. Vectors/20. Code challenge dot products with unit vectors.vtt 11.3 KB
11. Least-squares for model-fitting in statistics/3. Least-squares via left inverse.vtt 11.2 KB
9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.srt 11.1 KB
4. Matrix multiplications/3. Four ways to think about matrix multiplication.vtt 11.1 KB
12. Eigendecomposition/9. Diagonalization.vtt 11.0 KB
14. Quadratic form and definiteness/8. Quadratic form of generalized eigendecomposition.vtt 11.0 KB
4. Matrix multiplications/16. Multiplication of two symmetric matrices.vtt 10.8 KB
12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.srt 10.8 KB
3. Introduction to matrices/13. Code challenge linearity of trace.srt 10.8 KB
10. Projections and orthogonalization/2. Projections in R^2.vtt 10.7 KB
7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.srt 10.6 KB
4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.srt 10.5 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 10.5 KB
10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.srt 10.4 KB
4. Matrix multiplications/18. Frobenius dot product.srt 10.3 KB
13. Singular value decomposition/8. SVD, matrix inverse, and pseudoinverse.vtt 10.3 KB
4. Matrix multiplications/4. Code challenge matrix multiplication by layering.srt 10.3 KB
4. Matrix multiplications/2. Introduction to standard matrix multiplication.srt 10.2 KB
14. Quadratic form and definiteness/9. Matrix definiteness, geometry, and eigenvalues.srt 10.2 KB
2. Vectors/17. Vectors with complex numbers.srt 10.0 KB
1. Introductions/1. What is linear algebra.srt 10.0 KB
9. Matrix inverse/9. Pseudo-inverse, part 1.srt 9.9 KB
7. Solving systems of equations/8. Matrix spaces after row reduction.srt 9.8 KB
5. Matrix rank/8. Code challenge reduced-rank matrix via multiplication.srt 9.8 KB
11. Least-squares for model-fitting in statistics/4. Least-squares via orthogonal projection.srt 9.8 KB
9. Matrix inverse/6. Code challenge inverse of a diagonal matrix.vtt 9.8 KB
3. Introduction to matrices/2. Matrix terminology and dimensionality.srt 9.8 KB
2. Vectors/21. Dimensions and fields in linear algebra.srt 9.7 KB
7. Solving systems of equations/5. Echelon form and pivots.srt 9.5 KB
12. Eigendecomposition/11. Eigenvectors of distinct eigenvalues.vtt 9.5 KB
3. Introduction to matrices/13. Code challenge linearity of trace.vtt 9.4 KB
13. Singular value decomposition/4. SVD and the four subspaces.srt 9.4 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 9.3 KB
4. Matrix multiplications/15. Code challenge symmetry of combined symmetric matrices.vtt 9.3 KB
2. Vectors/15. Outer product.vtt 9.3 KB
7. Solving systems of equations/7. Code challenge RREF of matrices with different sizes and ranks.vtt 9.2 KB
13. Singular value decomposition/9. Condition number of a matrix.vtt 9.2 KB
4. Matrix multiplications/18. Frobenius dot product.vtt 9.2 KB
10. Projections and orthogonalization/5. Code challenge decompose vector to orthogonal components.vtt 9.1 KB
8. Matrix determinant/4. Determinant of a 2x2 matrix.srt 9.1 KB
4. Matrix multiplications/2. Introduction to standard matrix multiplication.vtt 9.0 KB
4. Matrix multiplications/4. Code challenge matrix multiplication by layering.vtt 8.9 KB
14. Quadratic form and definiteness/9. Matrix definiteness, geometry, and eigenvalues.vtt 8.9 KB
5. Matrix rank/12. Code challenge is this vector in the span of this set.srt 8.8 KB
2. Vectors/17. Vectors with complex numbers.vtt 8.8 KB
1. Introductions/1. What is linear algebra.vtt 8.8 KB
8. Matrix determinant/2. Determinant concept and applications.srt 8.8 KB
2. Vectors/6. Code challenge dot products with matrix columns.srt 8.7 KB
9. Matrix inverse/9. Pseudo-inverse, part 1.vtt 8.7 KB
6. Matrix spaces/8. More on Ax=b and Ax=0.srt 8.7 KB
3. Introduction to matrices/2. Matrix terminology and dimensionality.vtt 8.7 KB
11. Least-squares for model-fitting in statistics/4. Least-squares via orthogonal projection.vtt 8.6 KB
7. Solving systems of equations/8. Matrix spaces after row reduction.vtt 8.6 KB
5. Matrix rank/8. Code challenge reduced-rank matrix via multiplication.vtt 8.5 KB
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