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【影视】 [DesireCourse.Net] Udemy - Machine Learning for Beginners Linear Regression model in R

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7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 130.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/16. Test-Train Split in R.mp4 95.5 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
7. Regression models other than OLS/3. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/11. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.1 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Linear Regression and Logistic Regression using R Studio.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Linear Programming for Machine Learning.zip

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【压缩文件】 [ FreeCourseWeb.com ] Linear Regression in Python - Complete Statistics and Coding (Updated 7 - 2020).zip

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【影视】 [GigaCourse.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 153.0 MB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 132.5 MB
13. Singular value decomposition/8. Spectral theory of matrices.mp4 127.3 MB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 98.6 MB
5. Matrix rank/4. Computing rank theory and practice.mp4 94.7 MB
12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 89.8 MB
7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 88.7 MB
13. Singular value decomposition/4. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 86.9 MB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 84.5 MB
7. Solving systems of equations/6. Reduced row echelon form.mp4 83.1 MB
4. Matrix multiplications/11. Code challenge Geometric transformations via matrix multiplications.mp4 82.9 MB
2. Vectors/10. Dot product geometry sign and orthogonality.mp4 80.6 MB
8. Matrix determinant/8. Code challenge determinant of shifted matrices.mp4 79.8 MB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 79.6 MB
4. Matrix multiplications/7. Matrix-vector multiplication.mp4 79.5 MB
2. Vectors/27. Linear independence.mp4 79.4 MB
13. Singular value decomposition/9. SVD for low-rank approximations.mp4 77.5 MB
10. Projections and orthogonalization/11. Code challenge Inverse via QR.mp4 76.0 MB
12. Eigendecomposition/20. Code challenge GED in small and large matrices.mp4 75.9 MB
13. Singular value decomposition/15. Code challenge Create matrix with desired condition number.mp4 75.8 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/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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【压缩文件】 [ FreeCourseWeb.com ] TheGreatCourses - Mastering Linear Algebra- An Introduction with Applications [HD].zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning - Linear Regression [Step by Step Guide].rar

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【压缩文件】 Master Linear Algebra for Data Science & Machine Learning DL

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Master Linear Algebra for Data Science & Machine Learning DL.zip 6.9 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
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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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【文档书籍】 Lay D. Linear Algebra and Its App. 5ed 2016 Link to Sol.Man

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Lay D., Lay S., McDonald J. Linear Algebra and Its Applications 6ed 2020.pdf 123.5 MB
Lay D., Lay S., McDonald J. Linear Algebra and Its Applications 5ed 2016.pdf 33.2 MB
Readme-!!! Solutions Manual_Math.txt 608 Bytes

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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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【其他】 Lathi B. Signal Processing and Linear Systems 1998

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Lathi B. Signal Processing and Linear Systems 1998.djvu 67.0 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Using Excel for Linear Regression.zip

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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
13. Singular value decomposition/2. Singular value decomposition (SVD).mp4 78.0 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】 Complete linear algebra theory and implementation

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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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【压缩文件】 [ FreeCourseWeb.com ] Manning - 3Blue1Brown - Essence of Linear Algebra.zip

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