CourserHub com Coursera Mathematics for Machine Learning and Data Science Specialization

/0. Websites you may like/

[CourserHub.com].url

/

Readme.txt

/.../0. Websites you may like/

[CourserHub.com].url

/.../01_lesson-1-derivatives/

01_course-introduction-by-andrew-ng.en.srt

01_course-introduction-by-andrew-ng.en.txt

01_course-introduction-by-andrew-ng.mp4

02_course-introduction-by-luis-serrano.en.srt

02_course-introduction-by-luis-serrano.en.txt

02_course-introduction-by-luis-serrano.mp4

03_machine-learning-motivation.en.srt

03_machine-learning-motivation.en.txt

03_machine-learning-motivation.mp4

04_motivation-to-derivatives-part-i.en.srt

04_motivation-to-derivatives-part-i.en.txt

04_motivation-to-derivatives-part-i.mp4

05_derivatives-and-tangents.en.srt

05_derivatives-and-tangents.en.txt

05_derivatives-and-tangents.mp4

06_slopes-maxima-and-minima.en.srt

06_slopes-maxima-and-minima.en.txt

06_slopes-maxima-and-minima.mp4

07_approximation-of-derivatives_instructions.html

08_derivatives-and-their-notation.en.srt

08_derivatives-and-their-notation.en.txt

08_derivatives-and-their-notation.mp4

09_some-common-derivatives-lines.en.srt

09_some-common-derivatives-lines.en.txt

09_some-common-derivatives-lines.mp4

10_some-common-derivatives-quadratics.en.srt

10_some-common-derivatives-quadratics.en.txt

10_some-common-derivatives-quadratics.mp4

11_some-common-derivatives-higher-degree-polynomials.en.srt

11_some-common-derivatives-higher-degree-polynomials.en.txt

11_some-common-derivatives-higher-degree-polynomials.mp4

12_some-common-derivatives-other-power-functions.en.srt

12_some-common-derivatives-other-power-functions.en.txt

12_some-common-derivatives-other-power-functions.mp4

13_the-inverse-function-and-its-derivative.en.srt

13_the-inverse-function-and-its-derivative.en.txt

13_the-inverse-function-and-its-derivative.mp4

14_derivative-of-trigonometric-functions.en.srt

14_derivative-of-trigonometric-functions.en.txt

14_derivative-of-trigonometric-functions.mp4

15_meaning-of-the-exponential-e.en.srt

15_meaning-of-the-exponential-e.en.txt

15_meaning-of-the-exponential-e.mp4

16_the-derivative-of-e-x.en.srt

16_the-derivative-of-e-x.en.txt

16_the-derivative-of-e-x.mp4

17_the-derivative-of-log-x.en.srt

17_the-derivative-of-log-x.en.txt

17_the-derivative-of-log-x.mp4

18_existence-of-the-derivative.en.srt

18_existence-of-the-derivative.en.txt

18_existence-of-the-derivative.mp4

19_properties-of-the-derivative-multiplication-by-scalars.en.srt

19_properties-of-the-derivative-multiplication-by-scalars.en.txt

19_properties-of-the-derivative-multiplication-by-scalars.mp4

20_properties-of-the-derivative-the-sum-rule.en.srt

20_properties-of-the-derivative-the-sum-rule.en.txt

20_properties-of-the-derivative-the-sum-rule.mp4

21_properties-of-the-derivative-the-product-rule.en.srt

21_properties-of-the-derivative-the-product-rule.en.txt

21_properties-of-the-derivative-the-product-rule.mp4

22_properties-of-the-derivative-the-chain-rule.en.srt

22_properties-of-the-derivative-the-chain-rule.en.txt

22_properties-of-the-derivative-the-chain-rule.mp4

/.../02_ungraded-lab/

01_optional-downloading-your-notebook-and-refreshing-your-workspace_instructions.html

/.../03_lesson-2-optimization/

01_introduction-to-optimization.en.srt

01_introduction-to-optimization.en.txt

01_introduction-to-optimization.mp4

02_optimization-of-squared-loss-the-one-powerline-problem.en.srt

02_optimization-of-squared-loss-the-one-powerline-problem.en.txt

02_optimization-of-squared-loss-the-one-powerline-problem.mp4

03_optimization-of-squared-loss-the-two-powerline-problem.en.srt

03_optimization-of-squared-loss-the-two-powerline-problem.en.txt

03_optimization-of-squared-loss-the-two-powerline-problem.mp4

04_optimization-of-squared-loss-the-three-powerline-problem.en.srt

04_optimization-of-squared-loss-the-three-powerline-problem.en.txt

04_optimization-of-squared-loss-the-three-powerline-problem.mp4

05_optimization-of-log-loss-part-1.en.srt

05_optimization-of-log-loss-part-1.en.txt

05_optimization-of-log-loss-part-1.mp4

06_optimization-of-log-loss-part-2.en.srt

06_optimization-of-log-loss-part-2.en.txt

06_optimization-of-log-loss-part-2.mp4

07_week-1-conclusion.en.srt

07_week-1-conclusion.en.txt

07_week-1-conclusion.mp4

/.../04_programming-assignment-optimizing-functions-of-one-variable-cost-minimization/

01_optional-assignment-troubleshooting-tips_instructions.html

02_optional-partial-grading-for-assignments_instructions.html

/.../05_lecture-notes/

01_week-1-slides_C2_W1.pdf

01_week-1-slides_instructions.html

/.../01_lesson-1-gradients/

01_introduction-to-tangent-planes.en.srt

01_introduction-to-tangent-planes.en.txt

01_introduction-to-tangent-planes.mp4

02_partial-derivatives-part-1.en.srt

02_partial-derivatives-part-1.en.txt

02_partial-derivatives-part-1.mp4

03_partial-derivatives-part-2.en.srt

03_partial-derivatives-part-2.en.txt

03_partial-derivatives-part-2.mp4

04_gradients.en.srt

04_gradients.en.txt

04_gradients.mp4

05_gradients-and-maxima-minima.en.srt

05_gradients-and-maxima-minima.en.txt

05_gradients-and-maxima-minima.mp4

06_optimization-with-gradients-an-example.en.srt

06_optimization-with-gradients-an-example.en.txt

06_optimization-with-gradients-an-example.mp4

07_optimization-using-gradients-analytical-method.en.srt

07_optimization-using-gradients-analytical-method.en.txt

07_optimization-using-gradients-analytical-method.mp4

/.../02_lesson-2-gradient-descent/

01_optimization-using-gradient-descent-in-one-variable-part-1.en.srt

01_optimization-using-gradient-descent-in-one-variable-part-1.en.txt

01_optimization-using-gradient-descent-in-one-variable-part-1.mp4

02_optimization-using-gradient-descent-in-one-variable-part-2.en.srt

02_optimization-using-gradient-descent-in-one-variable-part-2.en.txt

02_optimization-using-gradient-descent-in-one-variable-part-2.mp4

03_optimization-using-gradient-descent-in-one-variable-part-3.en.srt

03_optimization-using-gradient-descent-in-one-variable-part-3.en.txt

03_optimization-using-gradient-descent-in-one-variable-part-3.mp4

04_optimization-using-gradient-descent-in-two-variables-part-1.en.srt

04_optimization-using-gradient-descent-in-two-variables-part-1.en.txt

04_optimization-using-gradient-descent-in-two-variables-part-1.mp4

05_optimization-using-gradient-descent-in-two-variables-part-2.en.srt

05_optimization-using-gradient-descent-in-two-variables-part-2.en.txt

05_optimization-using-gradient-descent-in-two-variables-part-2.mp4

06_optimization-using-gradient-descent-least-squares.en.srt

06_optimization-using-gradient-descent-least-squares.en.txt

06_optimization-using-gradient-descent-least-squares.mp4

07_optimization-using-gradient-descent-least-squares-with-multiple-observations.en.srt

07_optimization-using-gradient-descent-least-squares-with-multiple-observations.en.txt

07_optimization-using-gradient-descent-least-squares-with-multiple-observations.mp4

08_week-2-conclusion.en.srt

08_week-2-conclusion.en.txt

08_week-2-conclusion.mp4

/.../03_lecture-notes/

01_week-2-slides_C2_W2.pdf

01_week-2-slides_instructions.html

/.../01_lesson-1-optimization-in-neural-networks/

01_regression-with-a-perceptron.en.srt

01_regression-with-a-perceptron.en.txt

01_regression-with-a-perceptron.mp4

02_regression-with-a-perceptron-loss-function.en.srt

02_regression-with-a-perceptron-loss-function.en.txt

02_regression-with-a-perceptron-loss-function.mp4

03_regression-with-a-perceptron-gradient-descent.en.srt

03_regression-with-a-perceptron-gradient-descent.en.txt

03_regression-with-a-perceptron-gradient-descent.mp4

04_classification-with-perceptron.en.srt

04_classification-with-perceptron.en.txt

04_classification-with-perceptron.mp4

05_classification-with-perceptron-the-sigmoid-function.en.srt

05_classification-with-perceptron-the-sigmoid-function.en.txt

05_classification-with-perceptron-the-sigmoid-function.mp4

06_classification-with-perceptron-gradient-descent.en.srt

06_classification-with-perceptron-gradient-descent.en.txt

06_classification-with-perceptron-gradient-descent.mp4

07_classification-with-perceptron-calculating-the-derivatives.en.srt

07_classification-with-perceptron-calculating-the-derivatives.en.txt

07_classification-with-perceptron-calculating-the-derivatives.mp4

08_classification-with-a-neural-network.en.srt

08_classification-with-a-neural-network.en.txt

08_classification-with-a-neural-network.mp4

09_classification-with-a-neural-network-minimizing-log-loss.en.srt

09_classification-with-a-neural-network-minimizing-log-loss.en.txt

09_classification-with-a-neural-network-minimizing-log-loss.mp4

10_gradient-descent-and-backpropagation.en.srt

10_gradient-descent-and-backpropagation.en.txt

10_gradient-descent-and-backpropagation.mp4

/.../02_lesson-2-newtons-method/

01_newtons-method.en.srt

01_newtons-method.en.txt

01_newtons-method.mp4

02_newtons-method-an-example.en.srt

02_newtons-method-an-example.en.txt

02_newtons-method-an-example.mp4

03_the-second-derivative.en.srt

03_the-second-derivative.en.txt

03_the-second-derivative.mp4

04_the-hessian.en.srt

04_the-hessian.en.txt

04_the-hessian.mp4

05_hessians-and-concavity.en.srt

05_hessians-and-concavity.en.txt

05_hessians-and-concavity.mp4

06_newtons-method-for-two-variables.en.srt

06_newtons-method-for-two-variables.en.txt

06_newtons-method-for-two-variables.mp4

07_week-3-conclusion.en.srt

07_week-3-conclusion.en.txt

07_week-3-conclusion.mp4

/.../03_acknowledgments-course-resources/

01_acknowledgments_instructions.html

02_optional-opportunity-to-mentor-other-learners_instructions.html

/.../04_lecture-notes/

01_week-3-slides_C2_W3.pdf

01_week-3-slides_instructions.html

/machine-learning-calculus/

Readme.txt

/.../0. Websites you may like/

[CourserHub.com].url

/.../01_specialization-course-introduction/

01_specialization-introduction.en.srt

01_specialization-introduction.en.txt

01_specialization-introduction.mp4

02_course-introduction.en.srt

02_course-introduction.en.txt

02_course-introduction.mp4

03_what-to-expect-and-how-to-succeed.en.srt

03_what-to-expect-and-how-to-succeed.en.txt

03_what-to-expect-and-how-to-succeed.mp4

/.../02_system-of-linear-equations-2-variables/

01_machine-learning-motivation.en.srt

01_machine-learning-motivation.en.txt

01_machine-learning-motivation.mp4

02_check-your-knowledge_instructions.html

03_system-of-sentences.en.srt

03_system-of-sentences.en.txt

03_system-of-sentences.mp4

04_system-of-equations.en.srt

04_system-of-equations.en.txt

04_system-of-equations.mp4

05_system-of-equations-as-lines.en.srt

05_system-of-equations-as-lines.en.txt

05_system-of-equations-as-lines.mp4

06_a-geometric-notion-of-singularity.en.srt

06_a-geometric-notion-of-singularity.en.txt

06_a-geometric-notion-of-singularity.mp4

07_singular-vs-nonsingular-matrices.en.srt

07_singular-vs-nonsingular-matrices.en.txt

07_singular-vs-nonsingular-matrices.mp4

08_linear-dependence-and-independence.en.srt

08_linear-dependence-and-independence.en.txt

08_linear-dependence-and-independence.mp4

09_the-determinant.en.srt

09_the-determinant.en.txt

09_the-determinant.mp4

10_solving-systems-of-linear-equations_quiz.html

/.../03_ungraded-lab/

01_optional-downloading-your-notebook-and-refreshing-your-workspace_instructions.html

/.../04_system-of-linear-equations-3-variables/

01_system-of-equations-3x3.en.srt

01_system-of-equations-3x3.en.txt

01_system-of-equations-3x3.mp4

02_singular-vs-non-singular-matrices-3x3.en.srt

02_singular-vs-non-singular-matrices-3x3.en.txt

02_singular-vs-non-singular-matrices-3x3.mp4

03_system-of-equations-as-planes-3x3.en.srt

03_system-of-equations-as-planes-3x3.en.txt

03_system-of-equations-as-planes-3x3.mp4

04_linear-dependence-and-independence-3x3.en.srt

04_linear-dependence-and-independence-3x3.en.txt

04_linear-dependence-and-independence-3x3.mp4

05_the-determinant-3x3.en.srt

05_the-determinant-3x3.en.txt

05_the-determinant-3x3.mp4

06_conclusion.en.srt

06_conclusion.en.txt

06_conclusion.mp4

07_matrices_exam.html

/.../05_lecture-notes/

01_week-1-slides_C1_W1.pdf

01_week-1-slides_instructions.html

/.../01_solving-system-of-linear-equations-elimination/

01_machine-learning-motivation.en.srt

01_machine-learning-motivation.en.txt

01_machine-learning-motivation.mp4

02_check-your-knowledge_instructions.html

03_solving-non-singular-system-of-linear-equations.en.srt

03_solving-non-singular-system-of-linear-equations.en.txt

03_solving-non-singular-system-of-linear-equations.mp4

04_solving-singular-systems-of-linear-equations.en.srt

04_solving-singular-systems-of-linear-equations.en.txt

04_solving-singular-systems-of-linear-equations.mp4

05_solving-systems-of-equations-with-more-variables.en.srt

05_solving-systems-of-equations-with-more-variables.en.txt

05_solving-systems-of-equations-with-more-variables.mp4

06_matrix-row-reduction.en.srt

06_matrix-row-reduction.en.txt

06_matrix-row-reduction.mp4

07_row-operations-that-preserve-singularity.en.srt

07_row-operations-that-preserve-singularity.en.txt

07_row-operations-that-preserve-singularity.mp4

08_method-of-elimination_quiz.html

/.../02_solving-system-of-linear-equation-row-echelon-form-and-rank/

01_the-rank-of-a-matrix.en.srt

01_the-rank-of-a-matrix.en.txt

01_the-rank-of-a-matrix.mp4

02_the-rank-of-a-matrix-in-general.en.srt

02_the-rank-of-a-matrix-in-general.en.txt

02_the-rank-of-a-matrix-in-general.mp4

03_row-echelon-form.en.srt

03_row-echelon-form.en.txt

03_row-echelon-form.mp4

04_row-echelon-form-in-general.en.srt

04_row-echelon-form-in-general.en.txt

04_row-echelon-form-in-general.mp4

05_reduced-row-echelon-form.en.srt

05_reduced-row-echelon-form.en.txt

05_reduced-row-echelon-form.mp4

06_conclusion.en.srt

06_conclusion.en.txt

06_conclusion.mp4

07_the-rank-of-a-matrix_exam.html

/.../03_programming-assignment-system-of-linear-equations/

01_optional-assignment-troubleshooting-tips_instructions.html

02_optional-partial-grading-for-assignments_instructions.html

03_system-of-linear-equations_instructions.html

/.../04_lecture-notes/

01_week-2-slides_C1_W2.pdf

01_week-2-slides_instructions.html

/.../01_vector-algebra/

01_machine-learning-motivation.en.srt

01_machine-learning-motivation.en.txt

01_machine-learning-motivation.mp4

02_check-your-knowledge_instructions.html

03_vectors-and-their-properties.en.srt

03_vectors-and-their-properties.en.txt

03_vectors-and-their-properties.mp4

04_sum-and-difference-of-vectors.en.srt

04_sum-and-difference-of-vectors.en.txt

04_sum-and-difference-of-vectors.mp4

05_distance-between-vectors.en.srt

05_distance-between-vectors.en.txt

05_distance-between-vectors.mp4

06_multiplying-a-vector-by-a-scalar.en.srt

06_multiplying-a-vector-by-a-scalar.en.txt

06_multiplying-a-vector-by-a-scalar.mp4

07_the-dot-product.en.srt

07_the-dot-product.en.txt

07_the-dot-product.mp4

08_geometric-dot-product.en.srt

08_geometric-dot-product.en.txt

08_geometric-dot-product.mp4

09_multiplying-a-matrix-by-a-vector.en.srt

09_multiplying-a-matrix-by-a-vector.en.txt

09_multiplying-a-matrix-by-a-vector.mp4

10_vector-operations-sum-difference-multiplication-dot-product_quiz.html

/.../02_linear-transformations/

01_matrices-as-linear-transformations.en.srt

01_matrices-as-linear-transformations.en.txt

01_matrices-as-linear-transformations.mp4

02_linear-transformations-as-matrices.en.srt

02_linear-transformations-as-matrices.en.txt

02_linear-transformations-as-matrices.mp4

03_matrix-multiplication.en.srt

03_matrix-multiplication.en.txt

03_matrix-multiplication.mp4

04_the-identity-matrix.en.srt

04_the-identity-matrix.en.txt

04_the-identity-matrix.mp4

05_matrix-inverse.en.srt

05_matrix-inverse.en.txt

05_matrix-inverse.mp4

06_which-matrices-have-an-inverse.en.srt

06_which-matrices-have-an-inverse.en.txt

06_which-matrices-have-an-inverse.mp4

07_neural-networks-and-matrices.en.srt

07_neural-networks-and-matrices.en.txt

07_neural-networks-and-matrices.mp4

08_conclusion.en.srt

08_conclusion.en.txt

08_conclusion.mp4

09_vector-and-matrix-operations-types-of-matrices_exam.html

/.../03_programming-assignment-single-perceptron-neural-networks-for-linear-regression/

01_single-perceptron-neural-networks-for-linear-regression_instructions.html

/.../04_lecture-notes/

01_week-3-slides_C1_W3.pdf

01_week-3-slides_instructions.html

/.../01_determinants-in-depth/

01_machine-learning-motivation.en.srt

01_machine-learning-motivation.en.txt

01_machine-learning-motivation.mp4

02_check-your-knowledge_instructions.html

03_singularity-and-rank-of-linear-transformations.en.srt

03_singularity-and-rank-of-linear-transformations.en.txt

03_singularity-and-rank-of-linear-transformations.mp4

04_determinant-as-an-area.en.srt

04_determinant-as-an-area.en.txt

04_determinant-as-an-area.mp4

05_determinant-of-a-product.en.srt

05_determinant-of-a-product.en.txt

05_determinant-of-a-product.mp4

06_determinants-of-inverses.en.srt

06_determinants-of-inverses.en.txt

06_determinants-of-inverses.mp4

07_determinants-and-linear-transformations_quiz.html

/.../02_eigenvalues-and-eigenvectors/

01_bases-in-linear-algebra.en.srt

01_bases-in-linear-algebra.en.txt

01_bases-in-linear-algebra.mp4

02_span-in-linear-algebra.en.srt

02_span-in-linear-algebra.en.txt

02_span-in-linear-algebra.mp4

03_eigenbases.en.srt

03_eigenbases.en.txt

03_eigenbases.mp4

04_eigenvalues-and-eigenvectors.en.srt

04_eigenvalues-and-eigenvectors.en.txt

04_eigenvalues-and-eigenvectors.mp4

05_conclusion.en.srt

05_conclusion.en.txt

05_conclusion.mp4

06_eigenvalues-and-eigenvectors_exam.html

07_how-is-your-course-experience-so-far_instructions.html

/.../03_lecture-notes/

01_week-4-slides_C1_W4.pdf

01_week-4-slides_instructions.html

/.../04_programming-assignment-eigenvalues-and-eigenvectors/

01_eigenvalues-and-eigenvectors_instructions.html

/.../05_course-resources/

01_reading-textbooks-and-resources_instructions.html

02_references_5.0

02_references_index.html

02_references_instructions.html

03_notations_instructions.html

04_acknowledgments_instructions.html

/machine-learning-linear-algebra/

Readme.txt

Total files 396