Linear Algebra for Machine Learning

seeders: 8 leechers: 6 updated: 5 years ago
Added 5 years ago by tutsnode in Other
Downloaded 51 times.
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Linear Algebra for Machine Learning

Torrent Contents Size: 14.4 GB

Linear Algebra for Machine Learning
▼ show more 103 files
01-Topics.en.dfxp
DFXP
1.3 KB
01-Topics.mp4
MP4
40.4 MB
02-Topics.en.dfxp
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1.5 KB
02-Topics.mp4
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45 MB
03-3.1 Tensor Transposition.en.dfxp
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6.7 KB
03-3.1 Tensor Transposition.mp4
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92.2 MB
04-3.5 Exercises.en.dfxp
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9.6 KB
04-3.5 Exercises.mp4
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416.6 MB
05-3.2 Basic Tensor Arithmetic.en.dfxp
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11 KB
05-3.2 Basic Tensor Arithmetic.mp4
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143.9 MB
06-Topics.en.dfxp
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1 KB
06-Topics.mp4
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29.8 MB
07-5.4 Exercises.en.dfxp
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14.5 KB
07-5.4 Exercises.mp4
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629.8 MB
08-6.4 Orthogonal Matrices.en.dfxp
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8.3 KB
08-6.4 Orthogonal Matrices.mp4
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126 MB
09-6.2 Matrix Inversion.en.dfxp
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28.7 KB
09-6.2 Matrix Inversion.mp4
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304.8 MB
10-Topics.en.dfxp
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1 KB
10-Topics.mp4
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32.2 MB
11-Topics.en.dfxp
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1.6 KB
11-Topics.mp4
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53.5 MB
12-1.1 Defining Linear Algebra.en.dfxp
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11.8 KB
12-1.1 Defining Linear Algebra.mp4
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168.1 MB
13-1.5 Exercise.en.dfxp
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14.9 KB
13-1.5 Exercise.mp4
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651.2 MB
14-4.1 The Substitution Strategy.en.dfxp
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6.6 KB
14-4.1 The Substitution Strategy.mp4
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270.7 MB
15-4.2 Substitution Exercises.en.dfxp
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13.2 KB
15-4.2 Substitution Exercises.mp4
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641.6 MB
16-4.4 Elimination Exercises.en.dfxp
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15.6 KB
16-4.4 Elimination Exercises.mp4
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725.6 MB
17-Topics.en.dfxp
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17-Topics.mp4
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49.5 MB
18-5.3 Symmetric and Identity Matrices.en.dfxp
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9.3 KB
18-5.3 Symmetric and Identity Matrices.mp4
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121.1 MB
19-7.4 High-Dimensional Eigenvectors.en.dfxp
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7.4 KB
19-7.4 High-Dimensional Eigenvectors.mp4
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142.5 MB
20-1.2 Solving a System of Equations Algebraically.en.dfxp
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13 KB
20-1.2 Solving a System of Equations Algebraically.mp4
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115 MB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp
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6.6 KB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4
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214.1 MB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp
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18.9 KB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4
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268.9 MB
23-2.1 Tensors.en.dfxp
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7.7 KB
23-2.1 Tensors.mp4
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98.5 MB
24-2.7 Generic Tensor Notation.en.dfxp
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9 KB
24-2.7 Generic Tensor Notation.mp4
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198.7 MB
25-2.3 Vectors and Vector Transposition.en.dfxp
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19.1 KB
25-2.3 Vectors and Vector Transposition.mp4
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285.2 MB
26-Topics.en.dfxp
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819 B
26-Topics.mp4
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25.2 MB
27-3.3 Reduction.en.dfxp
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8.3 KB
27-3.3 Reduction.mp4
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90.9 MB
28-2.4 Norms and Unit Vectors.en.dfxp
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29.6 KB
28-2.4 Norms and Unit Vectors.mp4
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321.3 MB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp
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8.4 KB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4
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80.9 MB
30-4.3 The Elimination Strategy.en.dfxp
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6.5 KB
30-4.3 The Elimination Strategy.mp4
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307.8 MB
31-5.2 Matrix-by-Matrix Multiplication.en.dfxp
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18.6 KB
31-5.2 Matrix-by-Matrix Multiplication.mp4
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598.9 MB
32-5.1 Matrix-by-Vector Multiplication.en.dfxp
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20.2 KB
32-5.1 Matrix-by-Vector Multiplication.mp4
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756.7 MB
33-3.4 The Dot Product.en.dfxp
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11.7 KB
33-3.4 The Dot Product.mp4
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154 MB
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp
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22.6 KB
34-5.5 Machine Learning and Deep Learning Applications.mp4
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325.3 MB
35-6.1 The Frobenius Norm.en.dfxp
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6.5 KB
35-6.1 The Frobenius Norm.mp4
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111.9 MB
36-7.1 The Eigenconcept.en.dfxp
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15.2 KB
36-7.1 The Eigenconcept.mp4
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402.7 MB
37-6.3 Diagonal Matrices.en.dfxp
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6.9 KB
37-6.3 Diagonal Matrices.mp4
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125.7 MB
38-7.2 Exercises.en.dfxp
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14.4 KB
38-7.2 Exercises.mp4
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700.7 MB
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp
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11.1 KB
39-8.1 The Determinant of a 2 x 2 Matrix.mp4
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146.5 MB
40-Topics.en.dfxp
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1.4 KB
40-Topics.mp4
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46.3 MB
41-8.3 Exercises.en.dfxp
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7.7 KB
41-8.3 Exercises.mp4
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294.4 MB
42-8.2 The Determinants of Larger Matrices.en.dfxp
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15 KB
42-8.2 The Determinants of Larger Matrices.mp4
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141.9 MB
43-8.4 Determinants and Eigenvalues.en.dfxp
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14.6 KB
43-8.4 Determinants and Eigenvalues.mp4
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177.5 MB
44-9.4 Regression via Pseudoinversion.en.dfxp
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24.4 KB
44-9.4 Regression via Pseudoinversion.mp4
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288 MB
45-9.2 Media File Compression.en.dfxp
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12.2 KB
45-9.2 Media File Compression.mp4
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138.6 MB
46-9.1 Singular Value Decomposition.en.dfxp
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14.3 KB
46-9.1 Singular Value Decomposition.mp4
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194.5 MB
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp
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17.6 KB
47-9.3 The Moore-Penrose Pseudoinverse.mp4
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240.4 MB
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp
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7.4 KB
48-9.6 Resources for Further Study of Linear Algebra.mp4
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145.4 MB
49-1.4 Historical and Contemporary Applications.en.dfxp
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14.1 KB
49-1.4 Historical and Contemporary Applications.mp4
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252.6 MB
50-2.2 Scalars.en.dfxp
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42.3 KB
50-2.2 Scalars.mp4
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990.1 MB
51-2.6 Matrices.en.dfxp
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14.3 KB
51-2.6 Matrices.mp4
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189.9 MB
52-2.8 Exercises.en.dfxp
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3.7 KB
52-2.8 Exercises.mp4
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85.3 MB
53-Topics.en.dfxp
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921 B
53-Topics.mp4
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29.9 MB
54-6.5 The Trace Operator.en.dfxp
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7.3 KB
54-6.5 The Trace Operator.mp4
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114.7 MB
55-7.3 Eigenvectors in Python.en.dfxp
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57.3 KB
55-7.3 Eigenvectors in Python.mp4
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700.9 MB
56-8.5 Eigendecomposition.en.dfxp
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25.8 KB
56-8.5 Eigendecomposition.mp4
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443.3 MB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp
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2.5 KB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp4
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86.4 MB
58-9.5 Principal Component Analysis.en.dfxp
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13.5 KB
58-9.5 Principal Component Analysis.mp4
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207.3 MB
TutsNode.com.txt
TXT
102 B
[TGx]Downloaded from torrentgalaxy.to .txt
TXT
614 B

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