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[CourseClub.Me] Coursera – Mathematics for Machine Learning Specialization

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[CourseClub.Me] Coursera – Mathematics for Machine Learning Specialization

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文件列表

  • Coursera - Mathematics for Machine Learning Linear Algebra/02_vectors-are-objects-that-move-around-space/03_changing-the-reference-frame/01_changing-basis.mp4 78.3 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/02_definition-of-a-derivative.mp4 67.8 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/07_reformulation-of-the-objective.mp4 66.1 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/02_variables-constants-context.mp4 58.7 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/04_projections-onto-higher-dimensional-subspaces.mp4 56.0 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/02_gradient-descent.mp4 55.0 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/04_problem-setting-and-pca-objective.mp4 49.8 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/01_general-non-linear-least-squares.mp4 49.6 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/02_inner-product-length-of-vectors.mp4 47.2 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/02_projection-onto-1d-subspaces.mp4 47.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/01_the-jacobian.mp4 46.5 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/03_other-interpretations-of-pca-optional.mp4 44.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/02_multivariate-taylor.mp4 43.4 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/06_inner-products-of-functions-and-random-variables-optional.mp4 43.0 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/02_the-hessian.mp4 40.5 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/03_taming-a-beast.mp4 39.0 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/02_lagrange-multipliers/01_constrained-optimisation.mp4 38.9 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/01_welcome-to-module-5.mp4 37.4 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/02_jacobian-applied.mp4 37.4 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/01_linearisation.mp4 37.1 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/06_examples.mp4 36.3 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/02_pca-in-high-dimensions.mp4 36.3 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/02_chain-rule.mp4 35.4 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/01_the-sandpit.mp4 35.1 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/05_inner-product-angles-and-orthogonality.mp4 34.5 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/01_inner-product-definition.mp4 34.3 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/01_rise-over-run.mp4 34.0 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/06_finding-the-coordinates-of-the-projected-data.mp4 33.5 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/03_reality-is-hard.mp4 33.5 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/01_into-to-linear-regression/01_simple-linear-regression.mp4 32.8 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/01_dot-product/02_dot-product.mp4 31.5 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/01_variance-of-one-dimensional-datasets.mp4 30.6 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/01_effect-on-the-mean.mp4 29.6 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/03_variance-of-higher-dimensional-datasets.mp4 29.3 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/02_back-to-basics-functions/02_functions.mp4 29.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/01_product-rule.mp4 28.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/03_power-series.mp4 25.9 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/03_inner-product-distances-between-vectors.mp4 24.7 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/06_example-projection-onto-a-2d-subspace.mp4 24.0 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/03_example-projection-onto-1d-subspaces.mp4 21.8 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/02_mean-of-a-dataset.mp4 21.1 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/01_steps-of-pca.mp4 20.1 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/02_effect-on-the-co-variance.mp4 18.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/03_assessment/01_see-you-next-module.mp4 17.7 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/01_welcome-to-this-course/01_introduction-to-the-course.mp4 15.5 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/01_welcome-to-this-course/01_welcome-to-multivariate-calculus.mp4 14.7 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/01_dot-product/01_welcome-to-module-2.mp4 10.8 MB
  • Coursera - Mathematics for Machine Learning Linear Algebra/01_introduction-to-linear-algebra-and-to-mathematics-for-machine-learning/04_summary/01_summary.mp4 8.3 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/01_welcome-to-module-2.mp4 7.0 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/02_back-to-basics-functions/01_welcome-to-module-1.mp4 6.7 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/01_welcome-to-module-4.mp4 6.1 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/03_wrap-up-of-this-course.mp4 5.6 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/05_this-was-the-course-on-pca.mp4 4.6 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/05_assessment/01_see-you-next-module.mp4 4.2 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/01_welcome-to-module-1.mp4 3.6 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/03_multivariate-chain-rule-and-its-applications/02_neural-networks/03_see-you-next-module.mp4 3.2 MB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/04_summary-of-this-module.mp4 3.2 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/01_welcome-to-module-3.mp4 3.1 MB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/07_heading-for-the-next-module.mp4 2.8 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/03_see-you-next-module.mp4 2.5 MB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/07_this-was-module-3.mp4 2.5 MB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/03_see-you-next-module.mp4 2.2 MB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/04_see-you-next-module.mp4 2.2 MB
  • Coursera - Mathematics for Machine Learning PCA/05_Resources/02_video-slides/01__Mathematics_for_Machine_Learning_PCA_Lecture_Slides.pdf 609.4 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/07_Resources/01_formula-sheet/01__maths4ml-mvc-cheatsheet.pdf 220.1 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/05_full-derivation-of-the-projection_projections.pdf 210.6 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/05_multivariate-chain-rule_chain_rule.pdf 155.1 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/02_vector-spaces_vector_spaces.pdf 153.3 kB
  • Coursera - Mathematics for Machine Learning Linear Algebra/06_Resources/01_formula-sheet/01__maths4ml-linearalgebra-formula.pdf 127.8 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/04_basis-vectors_basis.pdf 116.6 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/04_projections-onto-higher-dimensional-subspaces_projectionsNd.pdf 56.6 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/01_dot-product/02_dot-product_dot_product.pdf 54.5 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/02_effect-on-the-co-variance_linear_trafo.pdf 53.0 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/01_inner-product-definition_inner_product.pdf 49.3 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/01_steps-of-pca_pca_steps.pdf 49.1 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/03_example-projection-onto-1d-subspaces_projections1d.pdf 47.9 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/02_inner-product-length-of-vectors_inner_product_lengths.pdf 43.5 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/01_variance-of-one-dimensional-datasets_variances.pdf 43.0 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/02_pca-in-high-dimensions_pca_high_dims.pdf 40.7 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/05_inner-product-angles-and-orthogonality_inner_product_angles.pdf 40.4 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/02_mean-of-a-dataset_means.pdf 38.9 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/01_welcome-to-this-course/03_how-to-be-successful-in-this-course_instructions.html 22.8 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/03_orthogonal-complements_OrthogonalDecomposition.html 17.2 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/01_into-to-linear-regression/01_simple-linear-regression.en.srt 16.6 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/02_definition-of-a-derivative.en.srt 14.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/02_gradient-descent.en.srt 12.7 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/02_variables-constants-context.en.srt 11.8 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/01_welcome-to-module-5.en.srt 11.8 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/02_lagrange-multipliers/01_constrained-optimisation.en.srt 11.7 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/07_reformulation-of-the-objective.en.srt 10.1 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/01_general-non-linear-least-squares.en.srt 10.1 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/01_into-to-linear-regression/01_simple-linear-regression.en.txt 10.0 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/02_jacobian-applied.en.srt 9.2 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/01_the-jacobian.en.srt 8.6 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/04_projections-onto-higher-dimensional-subspaces.en.srt 8.5 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/02_definition-of-a-derivative.en.txt 8.5 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/03_other-interpretations-of-pca-optional.en.srt 8.4 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/02_chain-rule.en.srt 8.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/02_the-hessian.en.srt 8.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/06_examples.en.srt 8.2 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/01_welcome-to-module-5.en.txt 8.2 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/02_projection-onto-1d-subspaces.en.srt 8.2 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/01_rise-over-run.en.srt 8.1 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/06_inner-products-of-functions-and-random-variables-optional.en.srt 8.1 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/04_problem-setting-and-pca-objective.en.srt 7.9 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/01_linearisation.en.srt 7.7 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/03_reality-is-hard.en.srt 7.7 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/02_gradient-descent.en.txt 7.6 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/01_the-sandpit.en.srt 7.5 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/02_variables-constants-context.en.txt 7.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/02_lagrange-multipliers/01_constrained-optimisation.en.txt 7.1 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/03_taming-a-beast.en.srt 7.1 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/02_inner-product-length-of-vectors.en.srt 6.5 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/05_inner-product-angles-and-orthogonality.en.srt 6.4 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/03_variance-of-higher-dimensional-datasets.en.srt 6.4 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/02_back-to-basics-functions/02_functions.en.srt 6.4 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/01_welcome-to-this-course/01_introduction-to-the-course.en.srt 6.0 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/01_general-non-linear-least-squares.en.txt 6.0 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/07_reformulation-of-the-objective.en.txt 5.9 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/01_product-rule.en.srt 5.9 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/01_steps-of-pca.en.srt 5.9 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/02_pca-in-high-dimensions.en.srt 5.7 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/01_variance-of-one-dimensional-datasets.en.srt 5.6 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/03_power-series.en.srt 5.5 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/02_jacobian-applied.en.txt 5.4 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/03_other-interpretations-of-pca-optional.en.txt 5.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/06_examples.en.txt 5.3 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/01_the-jacobian.en.txt 5.2 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/02_the-hessian.en.txt 5.2 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/01_inner-product-definition.en.srt 5.1 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/01_rise-over-run.en.txt 5.1 kB
  • Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/06_finding-the-coordinates-of-the-projected-data.en.srt 5.0 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/04_projections-onto-higher-dimensional-subspaces.en.txt 5.0 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/02_mean-of-a-dataset.en.srt 5.0 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/02_chain-rule.en.txt 5.0 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/01_linearisation.en.txt 5.0 kB
  • Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/02_projection-onto-1d-subspaces.en.txt 4.9 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/03_reality-is-hard.en.txt 4.9 kB
  • Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/01_the-sandpit.en.txt 4.8 kB
  • Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/06_inner-products-of-functions-and-random-variables-optional.en.txt 4.8 kB
  • Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/01_effect-on-the-mean.en.srt 4.8 kB
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