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- 【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
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6. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
8. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/4. How to Succeed in this Course.mp4 29.3 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.3 MB
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- 【影视】 Linear Algebra for Machine Learning
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文档个数:118
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[TutsNode.com] - Linear Algebra for Machine Learning/50-2.2 Scalars.mp4 1.0 GB
[TutsNode.com] - Linear Algebra for Machine Learning/32-5.1 Matrix-by-Vector Multiplication.mp4 793.4 MB
[TutsNode.com] - Linear Algebra for Machine Learning/16-4.4 Elimination Exercises.mp4 760.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/55-7.3 Eigenvectors in Python.mp4 735.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/38-7.2 Exercises.mp4 734.7 MB
[TutsNode.com] - Linear Algebra for Machine Learning/13-1.5 Exercise.mp4 682.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/15-4.2 Substitution Exercises.mp4 672.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/07-5.4 Exercises.mp4 660.4 MB
[TutsNode.com] - Linear Algebra for Machine Learning/31-5.2 Matrix-by-Matrix Multiplication.mp4 628.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/56-8.5 Eigendecomposition.mp4 464.9 MB
[TutsNode.com] - Linear Algebra for Machine Learning/04-3.5 Exercises.mp4 436.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/36-7.1 The Eigenconcept.mp4 422.3 MB
[TutsNode.com] - Linear Algebra for Machine Learning/34-5.5 Machine Learning and Deep Learning Applications.mp4 341.1 MB
[TutsNode.com] - Linear Algebra for Machine Learning/28-2.4 Norms and Unit Vectors.mp4 337.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/30-4.3 The Elimination Strategy.mp4 322.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/09-6.2 Matrix Inversion.mp4 319.6 MB
[TutsNode.com] - Linear Algebra for Machine Learning/41-8.3 Exercises.mp4 308.7 MB
[TutsNode.com] - Linear Algebra for Machine Learning/44-9.4 Regression via Pseudoinversion.mp4 302.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/25-2.3 Vectors and Vector Transposition.mp4 299.1 MB
[TutsNode.com] - Linear Algebra for Machine Learning/14-4.1 The Substitution Strategy.mp4 283.9 MB
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- 【影视】 [UdemyCourseDownloader] Complete linear algebra theory and implementation
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11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 139.8 MB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 137.3 MB
13. Singular value decomposition/5. Spectral theory of matrices.mp4 122.2 MB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 112.0 MB
7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 104.6 MB
12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 104.4 MB
5. Matrix rank/4. Computing rank theory and practice.mp4 94.7 MB
6. Matrix spaces/2. Column space of a matrix.mp4 90.7 MB
9. Matrix inverse/5. Computing the inverse via row reduction.mp4 89.7 MB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 89.7 MB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 85.3 MB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 85.3 MB
13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 83.0 MB
13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.mp4 82.5 MB
2. Vectors/9. Dot product geometry sign and orthogonality.mp4 80.9 MB
9. Matrix inverse/7. Left inverse and right inverse.mp4 80.4 MB
4. Matrix multiplications/7. Matrix-vector multiplication.mp4 79.5 MB
2. Vectors/26. Linear independence.mp4 79.4 MB
10. Projections and orthogonalization/3. Projections in R^N.mp4 79.2 MB
13. Singular value decomposition/2. Singular value decomposition (SVD).mp4 78.0 MB
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- 【影视】 [FTUForum.com] Udemy - Complete linear algebra theory and implementation
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11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 139.8 MB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 137.3 MB
13. Singular value decomposition/5. Spectral theory of matrices.mp4 122.2 MB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 112.0 MB
7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 104.6 MB
12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 104.4 MB
5. Matrix rank/4. Computing rank theory and practice.mp4 94.7 MB
6. Matrix spaces/2. Column space of a matrix.mp4 90.7 MB
9. Matrix inverse/5. Computing the inverse via row reduction.mp4 89.7 MB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 89.7 MB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 85.3 MB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 85.3 MB
13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 83.0 MB
13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.mp4 82.5 MB
2. Vectors/9. Dot product geometry sign and orthogonality.mp4 80.9 MB
9. Matrix inverse/7. Left inverse and right inverse.mp4 80.4 MB
4. Matrix multiplications/7. Matrix-vector multiplication.mp4 79.5 MB
2. Vectors/26. Linear independence.mp4 79.4 MB
10. Projections and orthogonalization/3. Projections in R^N.mp4 79.2 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
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6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
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- 【影视】 Dragon Ball 032 (original Japanese broadcast) [VHS linear audio 640x480 h264 LPCM] [36FC19FA].mkv
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Dragon Ball 032 (original Japanese broadcast) [VHS linear audio 640x480 h264 LPCM] [36FC19FA].mkv 691.8 MB
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Complete linear algebra theory and implementation/11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 139.8 MB
Complete linear algebra theory and implementation/14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 138.0 MB
Complete linear algebra theory and implementation/13. Singular value decomposition/5. Spectral theory of matrices.mp4 122.2 MB
Complete linear algebra theory and implementation/12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 104.4 MB
Complete linear algebra theory and implementation/9. Matrix inverse/5. Computing the inverse via row reduction.mp4 89.7 MB
Complete linear algebra theory and implementation/7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 89.2 MB
Complete linear algebra theory and implementation/11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 85.3 MB
Complete linear algebra theory and implementation/14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 85.3 MB
Complete linear algebra theory and implementation/11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 83.5 MB
Complete linear algebra theory and implementation/13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 83.0 MB
Complete linear algebra theory and implementation/13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.mp4 82.5 MB
Complete linear algebra theory and implementation/9. Matrix inverse/7. Left inverse and right inverse.mp4 80.4 MB
Complete linear algebra theory and implementation/10. Projections and orthogonalization/3. Projections in R^N.mp4 79.2 MB
Complete linear algebra theory and implementation/12. Eigendecomposition/13. Eigendecomposition of symmetric matrices.mp4 77.4 MB
Complete linear algebra theory and implementation/12. Eigendecomposition/3. Finding eigenvalues.mp4 76.7 MB
Complete linear algebra theory and implementation/13. Singular value decomposition/7. Convert singular values to percent variance.mp4 76.5 MB
Complete linear algebra theory and implementation/2. Vectors/23. Linear independence.mp4 75.6 MB
Complete linear algebra theory and implementation/6. Matrix spaces/2. Column space of a matrix.mp4 75.5 MB
Complete linear algebra theory and implementation/2. Vectors/8. Dot product geometry sign and orthogonality.mp4 74.7 MB
Complete linear algebra theory and implementation/12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 73.7 MB
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- 【影视】 Extreme.Africa.S01E06.The.Linear.Oasis.720p.WEB.h264-CAFFEiNE[TGx]
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- 【影视】 [FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python
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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB
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- 【影视】 ステンレス・ナイト 第1巻 2010 LINEAR
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ステンレス・ナイト 第1巻 2010 LINEAR.mp4 939.9 MB
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- 【影视】 [GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning
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04 Matrices and Systems of Linear Equations/024 Row Echelon Form (REF).mp4 187.9 MB
04 Matrices and Systems of Linear Equations/023 Elementary Row Operations.mp4 171.1 MB
04 Matrices and Systems of Linear Equations/020 The Online Matrix Calculator A FREE Tool.mp4 88.2 MB
03 Basics of Matrices (Continued)/012 Multiplication of two Matrices.mp4 85.6 MB
07 Inverse of a Matrix/042 Inverse of a 3x3 Matrix - Gauss-Jordan Elimination Method.mp4.part 72.8 MB
06 Determinant of a Matrix/033 Determinant of a 3x3 Matrix.mp4 72.3 MB
04 Matrices and Systems of Linear Equations/025 Reduced Row Echelon Form (RREF).mp4 70.8 MB
07 Inverse of a Matrix/041 Inverse of a 3x3 Matrix - The Co-factor Method.mp4 69.1 MB
02 Basics of Matrices/006 Solving Linear Systems in 2 Unknowns - 005.mp4 57.2 MB
03 Basics of Matrices (Continued)/019 SUMMARY.mp4 57.1 MB
01 Welcome and Introduction/001 Welcome and Introduction.mp4 51.5 MB
03 Basics of Matrices (Continued)/016 Using Matrices to Solve Simultaneous Linear Equations.mp4 45.4 MB
03 Basics of Matrices (Continued)/017 EXAMPLE - Using Matrices to Solve Simultaneous Linear Equations.mp4 39.9 MB
05 Matrix Algebra and Operations/029 Matrix Algebra - Matrix Multiplication.mp4 35.0 MB
07 Inverse of a Matrix/038 Importance of Inverse in solving Linear Systems.mp4 33.6 MB
02 Basics of Matrices/007 Solving Linear Systems in 3 Unknowns - 006.mp4 31.5 MB
06 Determinant of a Matrix/032 Determinant of a 2x2 Matrix.mp4 31.1 MB
03 Basics of Matrices (Continued)/010 Addition and Subtraction of Matrices.mp4 30.0 MB
03 Basics of Matrices (Continued)/009 Types of Matrices.mp4 27.8 MB
04 Matrices and Systems of Linear Equations/021 Systems of Linear Equations.mp4 23.5 MB
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- 【影视】 Machine Learning Basics Practical Linear Regression in R
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收录时间:2021-03-09
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[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/6. GLM Preview Logistic Regression Model & Accuracy Assessment.mp4 86.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/1. Lab Multiple linear regression - model estimation in R.mp4 63.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/2. Lab your first linear regression model.mp4 55.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/2. Introduction to Regression Analysis and Linear Regression.mp4 51.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/4. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/3. Lab Multiple linear regression with interaction in R.mp4 46.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/5. Linear Regression Diagnostics.mp4 45.3 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/8. Lab Receiver operating characteristic (ROC) curve and AUC.mp4 38.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/9. Prediction model evaluation with data split out-of-sample RMSE.mp4 32.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/4. Lab Regression with Categorical Variables Dummy Coding Essentials in R.mp4 31.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/8. Lab Predict with linear regression model & RMSE as in-sample error.mp4 25.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/2. Lab Multiple linear regression - prediction in R.mp4 19.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/1. Introduction.mp4 18.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/1. Getting started with linear regression.mp4 16.9 MB
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[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/1. What is R and RStudio.mp4 12.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/4. How to know if the model is best fit for your data - An overview.mp4 9.6 MB
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1056-15 - Eigenvectors and Eigenvalues: Geometry - Mastering Linear Algebra: An Introduction with Applications.mp4 281.2 MB
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