Udemy - Math 0-1 Linear Algebra for Data Science & Machine Learning (8.2023)

Creation Time	June 30, 2025, 2:12 p.m.
Last Access Time	July 5, 2025, 10:20 p.m.
File Size	10.4 GB
Keywords	Linear for Algebra Science - Udemy Machine Learning 2023 8 Data Math 0-1
Total Requests	53
Total Files	194
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5. Matrix Rank/1. Linear Independence and Dependence.mp4 358.8 MB
3. Vectors and Matrices/9. What is a Matrix.mp4 278.7 MB
6. Eigenvalues and Eigenvectors/13. Constructing the SVD (Proof of SVD).mp4 278.2 MB
4. Matrix Operations and Special Matrices/21. Positive Definite and Negative Definite Matrices.mp4 256.7 MB
5. Matrix Rank/4. Matrix Decompositions (SVD, QR, LU, Cholesky).mp4 256.6 MB
4. Matrix Operations and Special Matrices/16. Determinants (pt 2).mp4 254.8 MB
6. Eigenvalues and Eigenvectors/12. Diagonalization.mp4 249.7 MB
5. Matrix Rank/5. Rank After Multplication.mp4 245.3 MB
6. Eigenvalues and Eigenvectors/1. How to Find Eigenvalues and Eigenvectors (pt 1).mp4 243.6 MB
4. Matrix Operations and Special Matrices/7. Properties of the Matrix Transpose.mp4 242.1 MB
4. Matrix Operations and Special Matrices/3. Matrix Inverse.mp4 237.7 MB
2. Linear Systems Review/4. Gaussian Elimination.mp4 229.0 MB
3. Vectors and Matrices/6. Application Neural Embeddings, Cosine Similarity (Optional).mp4 227.0 MB
5. Matrix Rank/3. The Rank of a Matrix.mp4 223.5 MB
6. Eigenvalues and Eigenvectors/3. Exercise Rotation Matrix.mp4 221.8 MB
4. Matrix Operations and Special Matrices/23. Exercise Complete the Square.mp4 216.0 MB
3. Vectors and Matrices/1. What is a Vector.mp4 201.0 MB
4. Matrix Operations and Special Matrices/6. Matrix Transpose.mp4 188.8 MB
4. Matrix Operations and Special Matrices/15. Determinants (pt 1).mp4 188.7 MB
3. Vectors and Matrices/11. Matrix Multiplication.mp4 187.7 MB
5. Matrix Rank/7. Applications Recommender Systems and Topic Modeling (Optional).mp4 179.8 MB
2. Linear Systems Review/3. 3 Equations and 3 Unknowns.mp4 164.1 MB
3. Vectors and Matrices/3. Dot Product.mp4 159.8 MB
7. Setting Up Your Environment (AppendixFAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 147.2 MB
6. Eigenvalues and Eigenvectors/17. Eigenvalues in Python.mp4 145.2 MB
4. Matrix Operations and Special Matrices/10. Orthogonal and Orthonormal Matrices and Vectors.mp4 142.1 MB
6. Eigenvalues and Eigenvectors/16. Functions of Matrices (Optional).mp4 137.2 MB
5. Matrix Rank/6. Low-Rank Approximations and Frobenius Norm.mp4 133.5 MB
2. Linear Systems Review/2. 2 Equations and 2 Unknowns.mp4 133.5 MB
4. Matrix Operations and Special Matrices/9. Transpose in Higher Dimensions.mp4 133.3 MB
3. Vectors and Matrices/13. Matrix-Vector Product.mp4 132.2 MB
5. Matrix Rank/8. Applications of SVD Data Visualization and Feature Selection (Optional).mp4 127.7 MB
4. Matrix Operations and Special Matrices/17. Determinant Formula (Optional).mp4 118.4 MB
3. Vectors and Matrices/2. Adding and Subtracting Vectors.mp4 115.7 MB
3. Vectors and Matrices/5. Dot Product Exercises in Python.mp4 115.0 MB
6. Eigenvalues and Eigenvectors/6. Conjugate Transpose and Hermitian Matrices.mp4 113.9 MB
5. Matrix Rank/11. Matrix Decompositions in Python.mp4 112.1 MB
4. Matrix Operations and Special Matrices/2. Diagonal Matrices.mp4 111.1 MB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/4. What order should I take your courses in (part 2).mp4 105.9 MB
2. Linear Systems Review/1. Lines and Planes.mp4 102.6 MB
3. Vectors and Matrices/16. Outer Product.mp4 100.5 MB
4. Matrix Operations and Special Matrices/14. Exercise Why Are Orthogonal Matrices Length- and Angle-Preserving.mp4 95.5 MB
5. Matrix Rank/9. Application LoRA for Diffusion Models and LLMs (Optional).mp4 94.7 MB
3. Vectors and Matrices/4. Dot Product (pt 2).mp4 93.2 MB
3. Vectors and Matrices/18. Matrix Exercises in Python.mp4 92.3 MB
3. Vectors and Matrices/12. Properties of Matrix Multiplication.mp4 87.8 MB
6. Eigenvalues and Eigenvectors/9. Test for Positive Definiteness Using Eigenvalues.mp4 86.9 MB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/1. Can YouTube Teach Me Calculus.mp4 86.8 MB
6. Eigenvalues and Eigenvectors/15. Application The Vanishing Gradient Problem.mp4 86.4 MB
2. Linear Systems Review/6. Infinitely Many Solutions.mp4 82.5 MB
6. Eigenvalues and Eigenvectors/14. Matrix Powers.mp4 82.4 MB
5. Matrix Rank/2. Geometric Interpretation of Linear Combinations.mp4 81.9 MB
4. Matrix Operations and Special Matrices/24. Matrix Operations Exercises in Python.mp4 80.6 MB
3. Vectors and Matrices/7. Exercise Normalizing a Vector.mp4 79.4 MB
4. Matrix Operations and Special Matrices/5. Singular Matrices.mp4 79.1 MB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/3. What order should I take your courses in (part 1).mp4 77.9 MB
3. Vectors and Matrices/20. Vectors and Matrices Summary.mp4 77.4 MB
4. Matrix Operations and Special Matrices/8. Symmetric Matrices.mp4 77.2 MB
4. Matrix Operations and Special Matrices/20. Matrix Trace (Optional).mp4 76.2 MB
3. Vectors and Matrices/14. Application Neural Networks.mp4 75.5 MB
4. Matrix Operations and Special Matrices/4. Exercise Inverse of the Inverse.mp4 73.5 MB
3. Vectors and Matrices/17. Application Replicating GPT-4 (Optional).mp4 72.6 MB
6. Eigenvalues and Eigenvectors/19. Eigenvalues and Eigenvectors Summary.mp4 71.0 MB
6. Eigenvalues and Eigenvectors/8. Why Do Hermitian Matrices Have Orthogonal Eigenvectors.mp4 64.3 MB
4. Matrix Operations and Special Matrices/25. Matrix Operations and Special Matrices Summary.mp4 63.3 MB
6. Eigenvalues and Eigenvectors/7. Hermitian Matrices Have Real Eigenvalues.mp4 61.9 MB
3. Vectors and Matrices/19. Linear Systems Revisited.mp4 59.0 MB
4. Matrix Operations and Special Matrices/1. Identity Matrix.mp4 57.4 MB
4. Matrix Operations and Special Matrices/18. Determinant Identities (Optional).mp4 57.4 MB
5. Matrix Rank/10. Exercise Generating a Positive Semi-Definite Matrix.mp4 55.7 MB
6. Eigenvalues and Eigenvectors/18. Quiz Square Root of a Matrix.mp4 55.4 MB
7. Setting Up Your Environment (AppendixFAQ by Student Request)/1. Anaconda Environment Setup.mp4 52.6 MB
3. Vectors and Matrices/8. Exercise The Vector Normal to a Plane.mp4 49.7 MB
2. Linear Systems Review/5. No Solutions.mp4 49.0 MB
6. Eigenvalues and Eigenvectors/11. Invertibility From Eigenvalues (Positive Definite Matrices Are Invertible).mp4 46.4 MB
1. Introduction/1. Introduction and Outline.mp4 46.2 MB
1. Introduction/2. How to Succeed in this Course.mp4 41.2 MB
9. Appendix FAQ Finale/2. BONUS.mp4 39.9 MB
4. Matrix Operations and Special Matrices/22. Exercise Inverse of a Positive Definite Matrix.mp4 39.4 MB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.5 MB
4. Matrix Operations and Special Matrices/13. Exercise Transpose of Inverse of Symmetric Matrix.mp4 38.2 MB
3. Vectors and Matrices/10. Matrix Addition and Scalar Multiplication.mp4 36.6 MB
4. Matrix Operations and Special Matrices/11. Exercise Orthogonal Matrices.mp4 31.5 MB
3. Vectors and Matrices/15. Element-Wise Product.mp4 31.4 MB
5. Matrix Rank/12. Matrix Rank Summary.mp4 31.2 MB
6. Eigenvalues and Eigenvectors/10. Determinant From Eigenvalues.mp4 29.2 MB
2. Linear Systems Review/8. Suggestion Box.mp4 28.5 MB
6. Eigenvalues and Eigenvectors/2. How to Find Eigenvalues and Eigenvectors (pt 2).mp4 27.2 MB
6. Eigenvalues and Eigenvectors/4. Exercise Why Do A^TA and AA^T Have the Same Eigenvalues.mp4 26.4 MB
6. Eigenvalues and Eigenvectors/5. Exercise Eigenvalues of the Inverse.mp4 25.3 MB
2. Linear Systems Review/7. Review Summary.mp4 23.7 MB
4. Matrix Operations and Special Matrices/19. Exercise Determinant of a Unitary Matrix.mp4 23.4 MB
4. Matrix Operations and Special Matrices/12. Exercise Inverse of a Product.mp4 22.6 MB
1. Introduction/3. Where to Get the Code.mp4 22.0 MB
1. Introduction/4. How to Take this Course.mp4 20.3 MB
9. Appendix FAQ Finale/1. What is the Appendix.mp4 16.2 MB
5. Matrix Rank/1. Linear Independence and Dependence.srt 38.0 KB
6. Eigenvalues and Eigenvectors/17. Eigenvalues in Python.srt 34.3 KB
3. Vectors and Matrices/9. What is a Matrix.srt 34.2 KB
4. Matrix Operations and Special Matrices/7. Properties of the Matrix Transpose.srt 33.6 KB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32.5 KB
3. Vectors and Matrices/18. Matrix Exercises in Python.srt 32.4 KB
4. Matrix Operations and Special Matrices/16. Determinants (pt 2).srt 27.4 KB
3. Vectors and Matrices/6. Application Neural Embeddings, Cosine Similarity (Optional).srt 27.4 KB
4. Matrix Operations and Special Matrices/3. Matrix Inverse.srt 26.5 KB
2. Linear Systems Review/4. Gaussian Elimination.srt 26.2 KB
6. Eigenvalues and Eigenvectors/1. How to Find Eigenvalues and Eigenvectors (pt 1).srt 26.0 KB
5. Matrix Rank/4. Matrix Decompositions (SVD, QR, LU, Cholesky).srt 26.0 KB
6. Eigenvalues and Eigenvectors/13. Constructing the SVD (Proof of SVD).srt 25.8 KB
4. Matrix Operations and Special Matrices/21. Positive Definite and Negative Definite Matrices.srt 25.5 KB
5. Matrix Rank/11. Matrix Decompositions in Python.srt 25.4 KB
6. Eigenvalues and Eigenvectors/12. Diagonalization.srt 25.2 KB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/1. Can YouTube Teach Me Calculus.srt 24.9 KB
3. Vectors and Matrices/1. What is a Vector.srt 24.8 KB
4. Matrix Operations and Special Matrices/23. Exercise Complete the Square.srt 24.5 KB
6. Eigenvalues and Eigenvectors/3. Exercise Rotation Matrix.srt 24.1 KB
5. Matrix Rank/5. Rank After Multplication.srt 24.1 KB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/4. What order should I take your courses in (part 2).srt 24.0 KB
3. Vectors and Matrices/5. Dot Product Exercises in Python.srt 23.1 KB
4. Matrix Operations and Special Matrices/15. Determinants (pt 1).srt 22.5 KB
4. Matrix Operations and Special Matrices/6. Matrix Transpose.srt 21.5 KB
3. Vectors and Matrices/11. Matrix Multiplication.srt 21.5 KB
5. Matrix Rank/3. The Rank of a Matrix.srt 21.0 KB
2. Linear Systems Review/3. 3 Equations and 3 Unknowns.srt 20.1 KB
7. Setting Up Your Environment (AppendixFAQ by Student Request)/1. Anaconda Environment Setup.srt 20.1 KB
4. Matrix Operations and Special Matrices/24. Matrix Operations Exercises in Python.srt 18.5 KB
3. Vectors and Matrices/3. Dot Product.srt 18.3 KB
5. Matrix Rank/7. Applications Recommender Systems and Topic Modeling (Optional).srt 18.3 KB
8. Effective Learning Strategies (AppendixFAQ by Student Request)/3. What order should I take your courses in (part 1).srt 16.7 KB
4. Matrix Operations and Special Matrices/9. Transpose in Higher Dimensions.srt 16.5 KB
4. Matrix Operations and Special Matrices/25. Matrix Operations and Special Matrices Summary.srt 16.2 KB
3. Vectors and Matrices/20. Vectors and Matrices Summary.srt 15.9 KB
7. Setting Up Your Environment (AppendixFAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15.9 KB
2. Linear Systems Review/2. 2 Equations and 2 Unknowns.srt 15.6 KB
6. Eigenvalues and Eigenvectors/19. Eigenvalues and Eigenvectors Summary.srt 15.4 KB
4. Matrix Operations and Special Matrices/10. Orthogonal and Orthonormal Matrices and Vectors.srt 15.1 KB
4. Matrix Operations and Special Matrices/17. Determinant Formula (Optional).srt 14.8 KB
3. Vectors and Matrices/13. Matrix-Vector Product.srt 14.6 KB
6. Eigenvalues and Eigenvectors/16. Functions of Matrices (Optional).srt 14.5 KB
5. Matrix Rank/6. Low-Rank Approximations and Frobenius Norm.srt 13.3 KB
1. Introduction/1. Introduction and Outline.srt 13.2 KB
5. Matrix Rank/8. Applications of SVD Data Visualization and Feature Selection (Optional).srt 12.9 KB
3. Vectors and Matrices/2. Adding and Subtracting Vectors.srt 12.7 KB
1. Introduction/2. How to Succeed in this Course.srt 12.5 KB
6. Eigenvalues and Eigenvectors/6. Conjugate Transpose and Hermitian Matrices.srt 11.5 KB
2. Linear Systems Review/1. Lines and Planes.srt 11.4 KB
3. Vectors and Matrices/16. Outer Product.srt 11.1 KB
3. Vectors and Matrices/4. Dot Product (pt 2).srt 10.8 KB
4. Matrix Operations and Special Matrices/14. Exercise Why Are Orthogonal Matrices Length- and Angle-Preserving.srt 10.8 KB
5. Matrix Rank/9. Application LoRA for Diffusion Models and LLMs (Optional).srt 10.1 KB
2. Linear Systems Review/6. Infinitely Many Solutions.srt 10.0 KB
6. Eigenvalues and Eigenvectors/15. Application The Vanishing Gradient Problem.srt 9.6 KB
3. Vectors and Matrices/7. Exercise Normalizing a Vector.srt 9.6 KB
6. Eigenvalues and Eigenvectors/14. Matrix Powers.srt 9.4 KB
4. Matrix Operations and Special Matrices/5. Singular Matrices.srt 9.3 KB
3. Vectors and Matrices/12. Properties of Matrix Multiplication.srt 9.1 KB
4. Matrix Operations and Special Matrices/2. Diagonal Matrices.srt 9.1 KB
4. Matrix Operations and Special Matrices/8. Symmetric Matrices.srt 8.6 KB
3. Vectors and Matrices/17. Application Replicating GPT-4 (Optional).srt 8.4 KB
4. Matrix Operations and Special Matrices/20. Matrix Trace (Optional).srt 8.4 KB
5. Matrix Rank/2. Geometric Interpretation of Linear Combinations.srt 8.3 KB
6. Eigenvalues and Eigenvectors/9. Test for Positive Definiteness Using Eigenvalues.srt 8.3 KB
3. Vectors and Matrices/14. Application Neural Networks.srt 8.1 KB
4. Matrix Operations and Special Matrices/4. Exercise Inverse of the Inverse.srt 8.0 KB
9. Appendix FAQ Finale/2. BONUS.srt 7.9 KB
6. Eigenvalues and Eigenvectors/7. Hermitian Matrices Have Real Eigenvalues.srt 7.5 KB
4. Matrix Operations and Special Matrices/18. Determinant Identities (Optional).srt 7.4 KB
3. Vectors and Matrices/19. Linear Systems Revisited.srt 6.8 KB
6. Eigenvalues and Eigenvectors/8. Why Do Hermitian Matrices Have Orthogonal Eigenvectors.srt 6.8 KB
5. Matrix Rank/12. Matrix Rank Summary.srt 6.7 KB
4. Matrix Operations and Special Matrices/1. Identity Matrix.srt 6.7 KB
6. Eigenvalues and Eigenvectors/18. Quiz Square Root of a Matrix.srt 6.2 KB
2. Linear Systems Review/7. Review Summary.srt 5.7 KB
2. Linear Systems Review/5. No Solutions.srt 5.6 KB
5. Matrix Rank/10. Exercise Generating a Positive Semi-Definite Matrix.srt 5.6 KB
3. Vectors and Matrices/8. Exercise The Vector Normal to a Plane.srt 5.5 KB
1. Introduction/3. Where to Get the Code.srt 5.2 KB
6. Eigenvalues and Eigenvectors/11. Invertibility From Eigenvalues (Positive Definite Matrices Are Invertible).srt 5.1 KB
2. Linear Systems Review/8. Suggestion Box.srt 4.8 KB
3. Vectors and Matrices/10. Matrix Addition and Scalar Multiplication.srt 4.2 KB
4. Matrix Operations and Special Matrices/13. Exercise Transpose of Inverse of Symmetric Matrix.srt 4.2 KB
4. Matrix Operations and Special Matrices/22. Exercise Inverse of a Positive Definite Matrix.srt 4.1 KB
4. Matrix Operations and Special Matrices/11. Exercise Orthogonal Matrices.srt 3.9 KB
9. Appendix FAQ Finale/1. What is the Appendix.srt 3.7 KB
3. Vectors and Matrices/15. Element-Wise Product.srt 3.4 KB
6. Eigenvalues and Eigenvectors/2. How to Find Eigenvalues and Eigenvectors (pt 2).srt 3.4 KB
6. Eigenvalues and Eigenvectors/4. Exercise Why Do A^TA and AA^T Have the Same Eigenvalues.srt 3.1 KB
6. Eigenvalues and Eigenvectors/10. Determinant From Eigenvalues.srt 2.9 KB
1. Introduction/4. How to Take this Course.srt 2.8 KB
6. Eigenvalues and Eigenvectors/5. Exercise Eigenvalues of the Inverse.srt 2.7 KB
4. Matrix Operations and Special Matrices/12. Exercise Inverse of a Product.srt 2.5 KB
4. Matrix Operations and Special Matrices/19. Exercise Determinant of a Unitary Matrix.srt 2.4 KB
1. Introduction/3.2 Github Link.html 147 bytes
1. Introduction/3.1 Code Link.html 128 bytes

Udemy - Math 0-1 Linear Algebra for Data Science & Machine Learning (8.2023)

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