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种子名称： [CourseClub.Me] Coursera – Mathematics for Machine Learning Specialization
文件类型： 视频
文件数目： 67个文件
文件大小： 1.67 GB
收录时间： 2023-8-26 02:00
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最近下载： 2024-10-26 06:54

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

Coursera - Mathematics for Machine Learning Linear Algebra/01_introduction-to-linear-algebra-and-to-mathematics-for-machine-learning/04_summary/01_summary.mp47.89MB

Coursera - Mathematics for Machine Learning Linear Algebra/02_vectors-are-objects-that-move-around-space/01_introduction/01_introduction-to-module-2-vectors.mp40B

Coursera - Mathematics for Machine Learning Linear Algebra/02_vectors-are-objects-that-move-around-space/03_changing-the-reference-frame/01_changing-basis.mp474.72MB

Coursera - Mathematics for Machine Learning Linear Algebra/02_vectors-are-objects-that-move-around-space/04_doing-some-real-world-vectors-examples/01_summary.mp40B

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/01_welcome-to-this-course/01_welcome-to-multivariate-calculus.mp414.04MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/02_back-to-basics-functions/01_welcome-to-module-1.mp46.37MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/02_back-to-basics-functions/02_functions.mp427.87MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/01_rise-over-run.mp432.42MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/02_definition-of-a-derivative.mp464.68MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/03_gradients-and-derivatives/03_differentiation-examples-special-cases.mp40B

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/01_product-rule.mp426.9MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/02_chain-rule.mp433.79MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/04_time-saving-rules/03_taming-a-beast.mp437.15MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/01_what-is-calculus/05_assessment/01_see-you-next-module.mp44MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/01_welcome-to-module-2.mp46.66MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/01_moving-to-multivariate/02_variables-constants-context.mp455.96MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/01_the-jacobian.mp444.34MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/02_jacobians-vectors-of-derivatives/02_jacobian-applied.mp435.67MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/01_the-sandpit.mp433.44MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/02_the-hessian.mp438.58MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/03_reality-is-hard.mp431.93MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/02_multivariate-calculus/03_the-sandpit-game/04_see-you-next-module.mp42.11MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/03_multivariate-chain-rule-and-its-applications/01_chain-rule-intro/01_welcome-to-module-3.mp40B

Coursera - Mathematics for Machine Learning Multivariate Calculus/03_multivariate-chain-rule-and-its-applications/02_neural-networks/03_see-you-next-module.mp43.1MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/03_power-series.mp424.69MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/01_taylor-series-for-approximations/06_examples.mp434.65MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/01_linearisation.mp435.35MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/02_multivariate-taylor.mp441.39MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/04_taylor-series-and-linearisation/02_multivariable-taylor-series/03_see-you-next-module.mp42.41MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/01_welcome-to-module-5.mp435.71MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/01_fitting-as-minimisation-problem/02_gradient-descent.mp452.41MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/02_lagrange-multipliers/01_constrained-optimisation.mp437.12MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/05_intro-to-optimisation/03_assessment/01_see-you-next-module.mp416.92MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/01_into-to-linear-regression/01_simple-linear-regression.mp431.24MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/01_general-non-linear-least-squares.mp447.34MB

Coursera - Mathematics for Machine Learning Multivariate Calculus/06_regression/02_non-linear-regression/03_wrap-up-of-this-course.mp45.31MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/01_welcome-to-this-course/01_introduction-to-the-course.mp414.77MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/01_welcome-to-module-1.mp43.41MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/02_mean-values/02_mean-of-a-dataset.mp420.1MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/01_variance-of-one-dimensional-datasets.mp429.16MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/03_variances-and-covariances/03_variance-of-higher-dimensional-datasets.mp427.97MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/01_effect-on-the-mean.mp428.18MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/02_effect-on-the-co-variance.mp417.34MB

Coursera - Mathematics for Machine Learning PCA/01_statistics-of-datasets/04_linear-transformation-of-datasets/03_see-you-next-module.mp42.11MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/01_dot-product/01_welcome-to-module-2.mp410.29MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/01_dot-product/02_dot-product.mp430.07MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/01_inner-product-definition.mp432.71MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/02_inner-product-length-of-vectors.mp444.98MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/03_inner-product-distances-between-vectors.mp423.6MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/05_inner-product-angles-and-orthogonality.mp432.94MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/06_inner-products-of-functions-and-random-variables-optional.mp441.03MB

Coursera - Mathematics for Machine Learning PCA/02_inner-products/02_inner-products/07_heading-for-the-next-module.mp42.64MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/01_welcome-to-module-3.mp42.99MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/02_projection-onto-1d-subspaces.mp444.97MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/03_example-projection-onto-1d-subspaces.mp420.8MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/04_projections-onto-higher-dimensional-subspaces.mp453.37MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/06_example-projection-onto-a-2d-subspace.mp422.85MB

Coursera - Mathematics for Machine Learning PCA/03_orthogonal-projections/01_projections/07_this-was-module-3.mp42.37MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/01_welcome-to-module-4.mp45.78MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/04_problem-setting-and-pca-objective.mp447.51MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/06_finding-the-coordinates-of-the-projected-data.mp431.96MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/01_pca-derivation/07_reformulation-of-the-objective.mp463.03MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/01_steps-of-pca.mp419.2MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/02_pca-in-high-dimensions.mp434.62MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/03_other-interpretations-of-pca-optional.mp442.12MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/04_summary-of-this-module.mp43.07MB

Coursera - Mathematics for Machine Learning PCA/04_principal-component-analysis/02_pca-algorithm/05_this-was-the-course-on-pca.mp44.43MB