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Linear Algebra for Machine Learning

Torrent Info
Category Other
Added Friday 2nd June 2023 12:35:55 AM (3 years ago)
Size14.4 GB
Peers3 Peers (3 Seeders and 0 leechers) update
Downloaded133 times
Uploadertutsnode  Thank You  (0) Report Torrent 00/0
CommentsNone
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Tags English
Seeders3
Leechers0
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Torrent Files (118)
FilenameSize
50-2.2 Scalars.mp4990.1 MB
TutsNode.com.txt63 bytes
01-Topics.en.dfxp1.3 KB
01-Topics.mp440.4 MB
02-Topics.en.dfxp1.5 KB
02-Topics.mp445.0 MB
03-3.1 Tensor Transposition.en.dfxp6.7 KB
03-3.1 Tensor Transposition.mp492.2 MB
04-3.5 Exercises.en.dfxp9.6 KB
04-3.5 Exercises.mp4416.6 MB
05-3.2 Basic Tensor Arithmetic.en.dfxp11.0 KB
05-3.2 Basic Tensor Arithmetic.mp4143.9 MB
06-Topics.en.dfxp1014 bytes
06-Topics.mp429.8 MB
07-5.4 Exercises.en.dfxp14.5 KB
07-5.4 Exercises.mp4629.8 MB
08-6.4 Orthogonal Matrices.en.dfxp8.3 KB
08-6.4 Orthogonal Matrices.mp4126.0 MB
09-6.2 Matrix Inversion.en.dfxp28.7 KB
09-6.2 Matrix Inversion.mp4304.8 MB
10-Topics.en.dfxp1.0 KB
10-Topics.mp432.2 MB
11-Topics.en.dfxp1.6 KB
11-Topics.mp453.5 MB
12-1.1 Defining Linear Algebra.en.dfxp11.8 KB
12-1.1 Defining Linear Algebra.mp4168.1 MB
13-1.5 Exercise.en.dfxp14.9 KB
13-1.5 Exercise.mp4651.2 MB
14-4.1 The Substitution Strategy.en.dfxp6.6 KB
14-4.1 The Substitution Strategy.mp4270.7 MB
15-4.2 Substitution Exercises.en.dfxp13.2 KB
15-4.2 Substitution Exercises.mp4641.6 MB
16-4.4 Elimination Exercises.en.dfxp15.6 KB
16-4.4 Elimination Exercises.mp4725.6 MB
17-Topics.en.dfxp1.5 KB
17-Topics.mp449.5 MB
18-5.3 Symmetric and Identity Matrices.en.dfxp9.3 KB
18-5.3 Symmetric and Identity Matrices.mp4121.1 MB
19-7.4 High-Dimensional Eigenvectors.en.dfxp7.4 KB
19-7.4 High-Dimensional Eigenvectors.mp4142.5 MB
20-1.2 Solving a System of Equations Algebraically.en.dfxp13.0 KB
20-1.2 Solving a System of Equations Algebraically.mp4115.0 MB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp6.6 KB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4214.1 MB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp18.9 KB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4268.9 MB
23-2.1 Tensors.en.dfxp7.7 KB
23-2.1 Tensors.mp498.5 MB
24-2.7 Generic Tensor Notation.en.dfxp9.0 KB
24-2.7 Generic Tensor Notation.mp4198.7 MB
25-2.3 Vectors and Vector Transposition.en.dfxp19.1 KB
25-2.3 Vectors and Vector Transposition.mp4285.2 MB
26-Topics.en.dfxp844 bytes
26-Topics.mp425.2 MB
27-3.3 Reduction.en.dfxp8.3 KB
27-3.3 Reduction.mp490.9 MB
28-2.4 Norms and Unit Vectors.en.dfxp29.6 KB
28-2.4 Norms and Unit Vectors.mp4321.3 MB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp8.4 KB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp480.9 MB
30-4.3 The Elimination Strategy.en.dfxp6.5 KB
30-4.3 The Elimination Strategy.mp4307.8 MB
31-5.2 Matrix-by-Matrix Multiplication.en.dfxp18.6 KB
31-5.2 Matrix-by-Matrix Multiplication.mp4598.9 MB
32-5.1 Matrix-by-Vector Multiplication.en.dfxp20.2 KB
32-5.1 Matrix-by-Vector Multiplication.mp4756.7 MB
33-3.4 The Dot Product.en.dfxp11.7 KB
33-3.4 The Dot Product.mp4154.0 MB
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp22.6 KB
34-5.5 Machine Learning and Deep Learning Applications.mp4325.3 MB
35-6.1 The Frobenius Norm.en.dfxp6.5 KB
35-6.1 The Frobenius Norm.mp4111.9 MB
36-7.1 The Eigenconcept.en.dfxp15.2 KB
36-7.1 The Eigenconcept.mp4402.7 MB
37-6.3 Diagonal Matrices.en.dfxp6.9 KB
37-6.3 Diagonal Matrices.mp4125.7 MB
38-7.2 Exercises.en.dfxp14.4 KB
38-7.2 Exercises.mp4700.7 MB
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp11.1 KB
39-8.1 The Determinant of a 2 x 2 Matrix.mp4146.5 MB
40-Topics.en.dfxp1.4 KB
40-Topics.mp446.3 MB
41-8.3 Exercises.en.dfxp7.7 KB
41-8.3 Exercises.mp4294.4 MB
42-8.2 The Determinants of Larger Matrices.en.dfxp15.0 KB
42-8.2 The Determinants of Larger Matrices.mp4141.9 MB
43-8.4 Determinants and Eigenvalues.en.dfxp14.6 KB
43-8.4 Determinants and Eigenvalues.mp4177.5 MB
44-9.4 Regression via Pseudoinversion.en.dfxp24.4 KB
44-9.4 Regression via Pseudoinversion.mp4288.0 MB
45-9.2 Media File Compression.en.dfxp12.2 KB
45-9.2 Media File Compression.mp4138.6 MB
46-9.1 Singular Value Decomposition.en.dfxp14.3 KB
46-9.1 Singular Value Decomposition.mp4194.5 MB
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp17.6 KB
47-9.3 The Moore-Penrose Pseudoinverse.mp4240.4 MB
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp7.4 KB
48-9.6 Resources for Further Study of Linear Algebra.mp4145.4 MB
49-1.4 Historical and Contemporary Applications.en.dfxp14.1 KB
49-1.4 Historical and Contemporary Applications.mp4252.6 MB
50-2.2 Scalars.en.dfxp42.3 KB
[TGx]Downloaded from torrentgalaxy.to .txt585 bytes
51-2.6 Matrices.en.dfxp14.3 KB
51-2.6 Matrices.mp4189.9 MB
52-2.8 Exercises.en.dfxp3.7 KB
52-2.8 Exercises.mp485.3 MB
53-Topics.en.dfxp943 bytes
53-Topics.mp429.9 MB
54-6.5 The Trace Operator.en.dfxp7.3 KB
54-6.5 The Trace Operator.mp4114.7 MB
55-7.3 Eigenvectors in Python.en.dfxp57.3 KB
55-7.3 Eigenvectors in Python.mp4700.9 MB
56-8.5 Eigendecomposition.en.dfxp25.8 KB
56-8.5 Eigendecomposition.mp4443.3 MB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp2.5 KB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp486.4 MB
58-9.5 Principal Component Analysis.en.dfxp13.5 KB
58-9.5 Principal Component Analysis.mp4207.3 MB
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