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Torrent Details
Linear Algebra for Machine Learning
Category:
Ebook/Course
Size:
14.43 GB
Seeders:
4
Leechers:
1
Downloads:
221
Uploaded:
Feb 19, 2021
Torrent
Magnet
Files
Trackers
Info
Linear Algebra for Machine Learning
[TutsNode.com] - Linear Algebra for Machine Learning
50-2.2 Scalars.mp4
- 990.11 MB
01-Topics.en.dfxp
- 1.31 KB
01-Topics.mp4
- 40.43 MB
02-Topics.en.dfxp
- 1.54 KB
02-Topics.mp4
- 45.02 MB
03-3.1 Tensor Transposition.en.dfxp
- 6.73 KB
03-3.1 Tensor Transposition.mp4
- 92.22 MB
04-3.5 Exercises.en.dfxp
- 9.56 KB
04-3.5 Exercises.mp4
- 416.55 MB
05-3.2 Basic Tensor Arithmetic.en.dfxp
- 10.99 KB
05-3.2 Basic Tensor Arithmetic.mp4
- 143.94 MB
06-Topics.en.dfxp
- 1014 B
06-Topics.mp4
- 29.79 MB
07-5.4 Exercises.en.dfxp
- 14.51 KB
07-5.4 Exercises.mp4
- 629.77 MB
08-6.4 Orthogonal Matrices.en.dfxp
- 8.31 KB
08-6.4 Orthogonal Matrices.mp4
- 126.01 MB
09-6.2 Matrix Inversion.en.dfxp
- 28.72 KB
09-6.2 Matrix Inversion.mp4
- 304.81 MB
10-Topics.en.dfxp
- 1.04 KB
10-Topics.mp4
- 32.22 MB
11-Topics.en.dfxp
- 1.63 KB
11-Topics.mp4
- 53.46 MB
12-1.1 Defining Linear Algebra.en.dfxp
- 11.83 KB
12-1.1 Defining Linear Algebra.mp4
- 168.05 MB
13-1.5 Exercise.en.dfxp
- 14.93 KB
13-1.5 Exercise.mp4
- 651.21 MB
14-4.1 The Substitution Strategy.en.dfxp
- 6.62 KB
14-4.1 The Substitution Strategy.mp4
- 270.7 MB
15-4.2 Substitution Exercises.en.dfxp
- 13.21 KB
15-4.2 Substitution Exercises.mp4
- 641.6 MB
16-4.4 Elimination Exercises.en.dfxp
- 15.58 KB
16-4.4 Elimination Exercises.mp4
- 725.6 MB
17-Topics.en.dfxp
- 1.49 KB
17-Topics.mp4
- 49.5 MB
18-5.3 Symmetric and Identity Matrices.en.dfxp
- 9.31 KB
18-5.3 Symmetric and Identity Matrices.mp4
- 121.07 MB
19-7.4 High-Dimensional Eigenvectors.en.dfxp
- 7.4 KB
19-7.4 High-Dimensional Eigenvectors.mp4
- 142.51 MB
20-1.2 Solving a System of Equations Algebraically.en.dfxp
- 12.98 KB
20-1.2 Solving a System of Equations Algebraically.mp4
- 115 MB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp
- 6.62 KB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4
- 214.07 MB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp
- 18.95 KB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4
- 268.86 MB
23-2.1 Tensors.en.dfxp
- 7.72 KB
23-2.1 Tensors.mp4
- 98.51 MB
24-2.7 Generic Tensor Notation.en.dfxp
- 8.96 KB
24-2.7 Generic Tensor Notation.mp4
- 198.67 MB
25-2.3 Vectors and Vector Transposition.en.dfxp
- 19.1 KB
25-2.3 Vectors and Vector Transposition.mp4
- 285.21 MB
26-Topics.en.dfxp
- 844 B
26-Topics.mp4
- 25.18 MB
27-3.3 Reduction.en.dfxp
- 8.35 KB
27-3.3 Reduction.mp4
- 90.88 MB
28-2.4 Norms and Unit Vectors.en.dfxp
- 29.56 KB
28-2.4 Norms and Unit Vectors.mp4
- 321.34 MB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp
- 8.42 KB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4
- 80.91 MB
30-4.3 The Elimination Strategy.en.dfxp
- 6.48 KB
30-4.3 The Elimination Strategy.mp4
- 307.8 MB
31-5.2 Matrix-by-Matrix Multiplication.en.dfxp
- 18.6 KB
31-5.2 Matrix-by-Matrix Multiplication.mp4
- 598.93 MB
32-5.1 Matrix-by-Vector Multiplication.en.dfxp
- 20.16 KB
32-5.1 Matrix-by-Vector Multiplication.mp4
- 756.66 MB
33-3.4 The Dot Product.en.dfxp
- 11.69 KB
33-3.4 The Dot Product.mp4
- 153.97 MB
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp
- 22.56 KB
34-5.5 Machine Learning and Deep Learning Applications.mp4
- 325.27 MB
35-6.1 The Frobenius Norm.en.dfxp
- 6.47 KB
35-6.1 The Frobenius Norm.mp4
- 111.89 MB
36-7.1 The Eigenconcept.en.dfxp
- 15.25 KB
36-7.1 The Eigenconcept.mp4
- 402.7 MB
37-6.3 Diagonal Matrices.en.dfxp
- 6.93 KB
37-6.3 Diagonal Matrices.mp4
- 125.65 MB
38-7.2 Exercises.en.dfxp
- 14.45 KB
38-7.2 Exercises.mp4
- 700.68 MB
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp
- 11.09 KB
39-8.1 The Determinant of a 2 x 2 Matrix.mp4
- 146.54 MB
40-Topics.en.dfxp
- 1.39 KB
40-Topics.mp4
- 46.27 MB
41-8.3 Exercises.en.dfxp
- 7.71 KB
41-8.3 Exercises.mp4
- 294.38 MB
42-8.2 The Determinants of Larger Matrices.en.dfxp
- 14.99 KB
42-8.2 The Determinants of Larger Matrices.mp4
- 141.91 MB
43-8.4 Determinants and Eigenvalues.en.dfxp
- 14.56 KB
43-8.4 Determinants and Eigenvalues.mp4
- 177.48 MB
44-9.4 Regression via Pseudoinversion.en.dfxp
- 24.41 KB
44-9.4 Regression via Pseudoinversion.mp4
- 288.04 MB
45-9.2 Media File Compression.en.dfxp
- 12.21 KB
45-9.2 Media File Compression.mp4
- 138.6 MB
46-9.1 Singular Value Decomposition.en.dfxp
- 14.29 KB
46-9.1 Singular Value Decomposition.mp4
- 194.53 MB
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp
- 17.56 KB
47-9.3 The Moore-Penrose Pseudoinverse.mp4
- 240.44 MB
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp
- 7.42 KB
48-9.6 Resources for Further Study of Linear Algebra.mp4
- 145.43 MB
49-1.4 Historical and Contemporary Applications.en.dfxp
- 14.09 KB
49-1.4 Historical and Contemporary Applications.mp4
- 252.57 MB
50-2.2 Scalars.en.dfxp
- 42.32 KB
51-2.6 Matrices.en.dfxp
- 14.26 KB
51-2.6 Matrices.mp4
- 189.87 MB
52-2.8 Exercises.en.dfxp
- 3.74 KB
52-2.8 Exercises.mp4
- 85.27 MB
53-Topics.en.dfxp
- 943 B
53-Topics.mp4
- 29.86 MB
54-6.5 The Trace Operator.en.dfxp
- 7.3 KB
54-6.5 The Trace Operator.mp4
- 114.65 MB
55-7.3 Eigenvectors in Python.en.dfxp
- 57.35 KB
55-7.3 Eigenvectors in Python.mp4
- 700.92 MB
56-8.5 Eigendecomposition.en.dfxp
- 25.78 KB
56-8.5 Eigendecomposition.mp4
- 443.35 MB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp
- 2.5 KB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp4
- 86.41 MB
58-9.5 Principal Component Analysis.en.dfxp
- 13.55 KB
58-9.5 Principal Component Analysis.mp4
- 207.29 MB
TutsNode.com.txt
- 63 B
[TGx]Downloaded from torrentgalaxy.to .txt
- 585 B
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InfoHash:
8BE0A0BD9DF415AE204ED438FAAA2EC47386E827
Last updated:
Jul 19, 2022
File count:
118 B
File Category:
9
Tags:
Other, Tutorials
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