Coursera - Linear Algebra for Machine Learning and Data Science

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04
April
2024

Coursera - Linear Algebra for Machine Learning and Data Science


Download Free Download : Coursera - Linear Algebra for Machine Learning and Data Science
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:535.82 MB


Files Included :

01 specialization-introduction.mp4 (51.5 MB)
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02 course-introduction.mp4 (6.94 MB)
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03 what-to-expect-and-how-to-succeed.mp4 (7.14 MB)
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05 a-note-on-programming-experience.mp4 (1.94 MB)
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01 linear-algebra-applied-i.mp4 (12.75 MB)
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02 linear-algebra-applied-ii.mp4 (10.36 MB)
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04 system-of-sentences.mp4 (11.19 MB)
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05 system-of-equations.mp4 (20.49 MB)
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06 system-of-equations-as-lines-and-planes.mp4 (21.77 MB)
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09 a-geometric-notion-of-singularity.mp4 (6.36 MB)
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10 singular-vs-non-singular-matrices.mp4 (9.24 MB)
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12 linear-dependence-and-independence.mp4 (13.37 MB)
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13 the-determinant.mp4 (13.02 MB)
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01 conclusion.mp4 (2.5 MB)
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02 solving-non-singular-system-of-linear-equations.mp4 (10.73 MB)
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03 solving-singular-system-of-linear-equations.mp4 (4.39 MB)
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04 solving-system-of-equations-with-more-variables.mp4 (4.21 MB)
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06 matrix-row-reduction.mp4 (6.98 MB)
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07 row-operations-that-preserve-singularity.mp4 (7.29 MB)
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01 the-rank-of-a-matrix.mp4 (9.1 MB)
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02 the-rank-of-a-matrix-in-general.mp4 (4.38 MB)
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03 row-echelon-form.mp4 (5.33 MB)
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04 row-echelon-form-in-general.mp4 (5.81 MB)
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05 reduced-row-echelon-form.mp4 (5.47 MB)
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06 the-gaussian-elimination-algorithm.mp4 (12.82 MB)
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01 conclusion.mp4 (5.87 MB)
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01 machine-learning-motivation.mp4 (18.41 MB)
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03 vectors-and-their-properties.mp4 (8.75 MB)
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04 vector-operations.mp4 (5.01 MB)
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05 the-dot-product.mp4 (7.49 MB)
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06 geometric-dot-product.mp4 (4.95 MB)
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07 multiplying-a-matrix-by-a-vector.mp4 (7.65 MB)
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01 matrices-as-linear-transformations.mp4 (6.41 MB)
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02 linear-transformations-as-matrices.mp4 (4.36 MB)
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04 matrix-multiplication.mp4 (10.27 MB)
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05 the-identity-matrix.mp4 (4.2 MB)
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06 matrix-inverse.mp4 (7.01 MB)
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07 which-matrices-have-an-inverse.mp4 (3.44 MB)
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08 neural-networks-and-matrices.mp4 (14.33 MB)
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01 conclusion.mp4 (2.77 MB)
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01 week-4-introduction.mp4 (9.89 MB)
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03 singularity-and-rank-of-linear-transformations.mp4 (7.61 MB)
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04 determinant-as-an-area.mp4 (6.42 MB)
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05 determinant-of-a-product.mp4 (6.2 MB)
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06 determinants-of-inverses.mp4 (3.86 MB)
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01 bases-in-linear-algebra.mp4 (4.61 MB)
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02 span-in-linear-algebra.mp4 (15.87 MB)
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04 eigenbases.mp4 (5.9 MB)
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05 eigenvalues-and-eigenvectors.mp4 (8.65 MB)
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06 calculating-eigenvalues-and-eigenvectors.mp4 (12.96 MB)
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07 on-the-number-of-eigenvectors.mp4 (12.15 MB)
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08 dimensionality-reduction-and-projection.mp4 (10.99 MB)
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09 motivating-pca.mp4 (3.75 MB)
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10 variance-and-covariance.mp4 (9.54 MB)
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11 covariance-matrix.mp4 (10.9 MB)
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12 pca-overview.mp4 (6.59 MB)
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13 pca-why-it-works.mp4 (6.17 MB)
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14 pca-mathematical-formulation.mp4 (3.25 MB)
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15 discrete-dynamical-systems.mp4 (11.8 MB)
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01 conclusion.mp4 (2.74 MB)
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