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Linear Algebra for Machine Learning

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Linear Algebra for Machine Learning
Language: English
Category: Other
Size: 14.4 GB
Added: June 2, 2023, 12:35 a.m.
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Files:
  1. 50-2.2 Scalars.mp4 990.1 MB
  2. TutsNode.com.txt 63 bytes
  3. 01-Topics.en.dfxp 1.3 KB
  4. 01-Topics.mp4 40.4 MB
  5. 02-Topics.en.dfxp 1.5 KB
  6. 02-Topics.mp4 45.0 MB
  7. 03-3.1 Tensor Transposition.en.dfxp 6.7 KB
  8. 03-3.1 Tensor Transposition.mp4 92.2 MB
  9. 04-3.5 Exercises.en.dfxp 9.6 KB
  10. 04-3.5 Exercises.mp4 416.6 MB
  11. 05-3.2 Basic Tensor Arithmetic.en.dfxp 11.0 KB
  12. 05-3.2 Basic Tensor Arithmetic.mp4 143.9 MB
  13. 06-Topics.en.dfxp 1014 bytes
  14. 06-Topics.mp4 29.8 MB
  15. 07-5.4 Exercises.en.dfxp 14.5 KB
  16. 07-5.4 Exercises.mp4 629.8 MB
  17. 08-6.4 Orthogonal Matrices.en.dfxp 8.3 KB
  18. 08-6.4 Orthogonal Matrices.mp4 126.0 MB
  19. 09-6.2 Matrix Inversion.en.dfxp 28.7 KB
  20. 09-6.2 Matrix Inversion.mp4 304.8 MB
  21. 10-Topics.en.dfxp 1.0 KB
  22. 10-Topics.mp4 32.2 MB
  23. 11-Topics.en.dfxp 1.6 KB
  24. 11-Topics.mp4 53.5 MB
  25. 12-1.1 Defining Linear Algebra.en.dfxp 11.8 KB
  26. 12-1.1 Defining Linear Algebra.mp4 168.1 MB
  27. 13-1.5 Exercise.en.dfxp 14.9 KB
  28. 13-1.5 Exercise.mp4 651.2 MB
  29. 14-4.1 The Substitution Strategy.en.dfxp 6.6 KB
  30. 14-4.1 The Substitution Strategy.mp4 270.7 MB
  31. 15-4.2 Substitution Exercises.en.dfxp 13.2 KB
  32. 15-4.2 Substitution Exercises.mp4 641.6 MB
  33. 16-4.4 Elimination Exercises.en.dfxp 15.6 KB
  34. 16-4.4 Elimination Exercises.mp4 725.6 MB
  35. 17-Topics.en.dfxp 1.5 KB
  36. 17-Topics.mp4 49.5 MB
  37. 18-5.3 Symmetric and Identity Matrices.en.dfxp 9.3 KB
  38. 18-5.3 Symmetric and Identity Matrices.mp4 121.1 MB
  39. 19-7.4 High-Dimensional Eigenvectors.en.dfxp 7.4 KB
  40. 19-7.4 High-Dimensional Eigenvectors.mp4 142.5 MB
  41. 20-1.2 Solving a System of Equations Algebraically.en.dfxp 13.0 KB
  42. 20-1.2 Solving a System of Equations Algebraically.mp4 115.0 MB
  43. 21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp 6.6 KB
  44. 21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4 214.1 MB
  45. 22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp 18.9 KB
  46. 22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4 268.9 MB
  47. 23-2.1 Tensors.en.dfxp 7.7 KB
  48. 23-2.1 Tensors.mp4 98.5 MB
  49. 24-2.7 Generic Tensor Notation.en.dfxp 9.0 KB
  50. 24-2.7 Generic Tensor Notation.mp4 198.7 MB
  51. 25-2.3 Vectors and Vector Transposition.en.dfxp 19.1 KB
  52. 25-2.3 Vectors and Vector Transposition.mp4 285.2 MB
  53. 26-Topics.en.dfxp 844 bytes
  54. 26-Topics.mp4 25.2 MB
  55. 27-3.3 Reduction.en.dfxp 8.3 KB
  56. 27-3.3 Reduction.mp4 90.9 MB
  57. 28-2.4 Norms and Unit Vectors.en.dfxp 29.6 KB
  58. 28-2.4 Norms and Unit Vectors.mp4 321.3 MB
  59. 29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp 8.4 KB
  60. 29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4 80.9 MB
  61. 30-4.3 The Elimination Strategy.en.dfxp 6.5 KB
  62. 30-4.3 The Elimination Strategy.mp4 307.8 MB
  63. 31-5.2 Matrix-by-Matrix Multiplication.en.dfxp 18.6 KB
  64. 31-5.2 Matrix-by-Matrix Multiplication.mp4 598.9 MB
  65. 32-5.1 Matrix-by-Vector Multiplication.en.dfxp 20.2 KB
  66. 32-5.1 Matrix-by-Vector Multiplication.mp4 756.7 MB
  67. 33-3.4 The Dot Product.en.dfxp 11.7 KB
  68. 33-3.4 The Dot Product.mp4 154.0 MB
  69. 34-5.5 Machine Learning and Deep Learning Applications.en.dfxp 22.6 KB
  70. 34-5.5 Machine Learning and Deep Learning Applications.mp4 325.3 MB
  71. 35-6.1 The Frobenius Norm.en.dfxp 6.5 KB
  72. 35-6.1 The Frobenius Norm.mp4 111.9 MB
  73. 36-7.1 The Eigenconcept.en.dfxp 15.2 KB
  74. 36-7.1 The Eigenconcept.mp4 402.7 MB
  75. 37-6.3 Diagonal Matrices.en.dfxp 6.9 KB
  76. 37-6.3 Diagonal Matrices.mp4 125.7 MB
  77. 38-7.2 Exercises.en.dfxp 14.4 KB
  78. 38-7.2 Exercises.mp4 700.7 MB
  79. 39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp 11.1 KB
  80. 39-8.1 The Determinant of a 2 x 2 Matrix.mp4 146.5 MB
  81. 40-Topics.en.dfxp 1.4 KB
  82. 40-Topics.mp4 46.3 MB
  83. 41-8.3 Exercises.en.dfxp 7.7 KB
  84. 41-8.3 Exercises.mp4 294.4 MB
  85. 42-8.2 The Determinants of Larger Matrices.en.dfxp 15.0 KB
  86. 42-8.2 The Determinants of Larger Matrices.mp4 141.9 MB
  87. 43-8.4 Determinants and Eigenvalues.en.dfxp 14.6 KB
  88. 43-8.4 Determinants and Eigenvalues.mp4 177.5 MB
  89. 44-9.4 Regression via Pseudoinversion.en.dfxp 24.4 KB
  90. 44-9.4 Regression via Pseudoinversion.mp4 288.0 MB
  91. 45-9.2 Media File Compression.en.dfxp 12.2 KB
  92. 45-9.2 Media File Compression.mp4 138.6 MB
  93. 46-9.1 Singular Value Decomposition.en.dfxp 14.3 KB
  94. 46-9.1 Singular Value Decomposition.mp4 194.5 MB
  95. 47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp 17.6 KB
  96. 47-9.3 The Moore-Penrose Pseudoinverse.mp4 240.4 MB
  97. 48-9.6 Resources for Further Study of Linear Algebra.en.dfxp 7.4 KB
  98. 48-9.6 Resources for Further Study of Linear Algebra.mp4 145.4 MB
  99. 49-1.4 Historical and Contemporary Applications.en.dfxp 14.1 KB
  100. 49-1.4 Historical and Contemporary Applications.mp4 252.6 MB
  101. 50-2.2 Scalars.en.dfxp 42.3 KB
  102. [TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
  103. 51-2.6 Matrices.en.dfxp 14.3 KB
  104. 51-2.6 Matrices.mp4 189.9 MB
  105. 52-2.8 Exercises.en.dfxp 3.7 KB
  106. 52-2.8 Exercises.mp4 85.3 MB
  107. 53-Topics.en.dfxp 943 bytes
  108. 53-Topics.mp4 29.9 MB
  109. 54-6.5 The Trace Operator.en.dfxp 7.3 KB
  110. 54-6.5 The Trace Operator.mp4 114.7 MB
  111. 55-7.3 Eigenvectors in Python.en.dfxp 57.3 KB
  112. 55-7.3 Eigenvectors in Python.mp4 700.9 MB
  113. 56-8.5 Eigendecomposition.en.dfxp 25.8 KB
  114. 56-8.5 Eigendecomposition.mp4 443.3 MB
  115. 57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp 2.5 KB
  116. 57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp4 86.4 MB
  117. 58-9.5 Principal Component Analysis.en.dfxp 13.5 KB
  118. 58-9.5 Principal Component Analysis.mp4 207.3 MB

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