Linear Algebra for Machine Learning
Seeders : 13 Leechers : 9
| Torrent Hash : | 8BE0A0BD9DF415AE204ED438FAAA2EC47386E827 |
| Torrent Added : | at June 2, 2023, 12:35 a.m. in Other |
| Torrent Size : | 14.4 GB |
Note :
Please Update (Trackers Info) Before Start " Linear Algebra for Machine Learning" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Linear Algebra for Machine Learning
50-2.2 Scalars.mp4 -
TutsNode.com.txt -
01-Topics.en.dfxp -
01-Topics.mp4 -
02-Topics.en.dfxp -
02-Topics.mp4 -
03-3.1 Tensor Transposition.en.dfxp -
03-3.1 Tensor Transposition.mp4 -
04-3.5 Exercises.en.dfxp -
04-3.5 Exercises.mp4 -
05-3.2 Basic Tensor Arithmetic.en.dfxp -
05-3.2 Basic Tensor Arithmetic.mp4 -
06-Topics.en.dfxp -
06-Topics.mp4 -
07-5.4 Exercises.en.dfxp -
07-5.4 Exercises.mp4 -
08-6.4 Orthogonal Matrices.en.dfxp -
08-6.4 Orthogonal Matrices.mp4 -
09-6.2 Matrix Inversion.en.dfxp -
09-6.2 Matrix Inversion.mp4 -
10-Topics.en.dfxp -
10-Topics.mp4 -
11-Topics.en.dfxp -
11-Topics.mp4 -
12-1.1 Defining Linear Algebra.en.dfxp -
12-1.1 Defining Linear Algebra.mp4 -
13-1.5 Exercise.en.dfxp -
13-1.5 Exercise.mp4 -
14-4.1 The Substitution Strategy.en.dfxp -
14-4.1 The Substitution Strategy.mp4 -
15-4.2 Substitution Exercises.en.dfxp -
15-4.2 Substitution Exercises.mp4 -
16-4.4 Elimination Exercises.en.dfxp -
16-4.4 Elimination Exercises.mp4 -
17-Topics.en.dfxp -
17-Topics.mp4 -
18-5.3 Symmetric and Identity Matrices.en.dfxp -
18-5.3 Symmetric and Identity Matrices.mp4 -
19-7.4 High-Dimensional Eigenvectors.en.dfxp -
19-7.4 High-Dimensional Eigenvectors.mp4 -
20-1.2 Solving a System of Equations Algebraically.en.dfxp -
20-1.2 Solving a System of Equations Algebraically.mp4 -
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp -
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4 -
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp -
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4 -
23-2.1 Tensors.en.dfxp -
23-2.1 Tensors.mp4 -
24-2.7 Generic Tensor Notation.en.dfxp -
24-2.7 Generic Tensor Notation.mp4 -
25-2.3 Vectors and Vector Transposition.en.dfxp -
25-2.3 Vectors and Vector Transposition.mp4 -
26-Topics.en.dfxp -
26-Topics.mp4 -
27-3.3 Reduction.en.dfxp -
27-3.3 Reduction.mp4 -
28-2.4 Norms and Unit Vectors.en.dfxp -
28-2.4 Norms and Unit Vectors.mp4 -
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp -
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4 -
30-4.3 The Elimination Strategy.en.dfxp -
30-4.3 The Elimination Strategy.mp4 -
31-5.2 Matrix-by-Matrix Multiplication.en.dfxp -
31-5.2 Matrix-by-Matrix Multiplication.mp4 -
32-5.1 Matrix-by-Vector Multiplication.en.dfxp -
32-5.1 Matrix-by-Vector Multiplication.mp4 -
33-3.4 The Dot Product.en.dfxp -
33-3.4 The Dot Product.mp4 -
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp -
34-5.5 Machine Learning and Deep Learning Applications.mp4 -
35-6.1 The Frobenius Norm.en.dfxp -
35-6.1 The Frobenius Norm.mp4 -
36-7.1 The Eigenconcept.en.dfxp -
36-7.1 The Eigenconcept.mp4 -
37-6.3 Diagonal Matrices.en.dfxp -
37-6.3 Diagonal Matrices.mp4 -
38-7.2 Exercises.en.dfxp -
38-7.2 Exercises.mp4 -
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp -
39-8.1 The Determinant of a 2 x 2 Matrix.mp4 -
40-Topics.en.dfxp -
40-Topics.mp4 -
41-8.3 Exercises.en.dfxp -
41-8.3 Exercises.mp4 -
42-8.2 The Determinants of Larger Matrices.en.dfxp -
42-8.2 The Determinants of Larger Matrices.mp4 -
43-8.4 Determinants and Eigenvalues.en.dfxp -
43-8.4 Determinants and Eigenvalues.mp4 -
44-9.4 Regression via Pseudoinversion.en.dfxp -
44-9.4 Regression via Pseudoinversion.mp4 -
45-9.2 Media File Compression.en.dfxp -
45-9.2 Media File Compression.mp4 -
46-9.1 Singular Value Decomposition.en.dfxp -
46-9.1 Singular Value Decomposition.mp4 -
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp -
47-9.3 The Moore-Penrose Pseudoinverse.mp4 -
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp -
48-9.6 Resources for Further Study of Linear Algebra.mp4 -
49-1.4 Historical and Contemporary Applications.en.dfxp -
49-1.4 Historical and Contemporary Applications.mp4 -
50-2.2 Scalars.en.dfxp -
[TGx]Downloaded from torrentgalaxy.to .txt -
51-2.6 Matrices.en.dfxp -
51-2.6 Matrices.mp4 -
52-2.8 Exercises.en.dfxp -
52-2.8 Exercises.mp4 -
53-Topics.en.dfxp -
53-Topics.mp4 -
54-6.5 The Trace Operator.en.dfxp -
54-6.5 The Trace Operator.mp4 -
55-7.3 Eigenvectors in Python.en.dfxp -
55-7.3 Eigenvectors in Python.mp4 -
56-8.5 Eigendecomposition.en.dfxp -
56-8.5 Eigendecomposition.mp4 -
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp -
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp4 -
58-9.5 Principal Component Analysis.en.dfxp -
58-9.5 Principal Component Analysis.mp4 -
Please login or create a FREE account to post comments
50-2.2 Scalars.mp4 -
990.1 MB
TutsNode.com.txt -
63 bytes
01-Topics.en.dfxp -
1.3 KB
01-Topics.mp4 -
40.4 MB
02-Topics.en.dfxp -
1.5 KB
02-Topics.mp4 -
45.0 MB
03-3.1 Tensor Transposition.en.dfxp -
6.7 KB
03-3.1 Tensor Transposition.mp4 -
92.2 MB
04-3.5 Exercises.en.dfxp -
9.6 KB
04-3.5 Exercises.mp4 -
416.6 MB
05-3.2 Basic Tensor Arithmetic.en.dfxp -
11.0 KB
05-3.2 Basic Tensor Arithmetic.mp4 -
143.9 MB
06-Topics.en.dfxp -
1014 bytes
06-Topics.mp4 -
29.8 MB
07-5.4 Exercises.en.dfxp -
14.5 KB
07-5.4 Exercises.mp4 -
629.8 MB
08-6.4 Orthogonal Matrices.en.dfxp -
8.3 KB
08-6.4 Orthogonal Matrices.mp4 -
126.0 MB
09-6.2 Matrix Inversion.en.dfxp -
28.7 KB
09-6.2 Matrix Inversion.mp4 -
304.8 MB
10-Topics.en.dfxp -
1.0 KB
10-Topics.mp4 -
32.2 MB
11-Topics.en.dfxp -
1.6 KB
11-Topics.mp4 -
53.5 MB
12-1.1 Defining Linear Algebra.en.dfxp -
11.8 KB
12-1.1 Defining Linear Algebra.mp4 -
168.1 MB
13-1.5 Exercise.en.dfxp -
14.9 KB
13-1.5 Exercise.mp4 -
651.2 MB
14-4.1 The Substitution Strategy.en.dfxp -
6.6 KB
14-4.1 The Substitution Strategy.mp4 -
270.7 MB
15-4.2 Substitution Exercises.en.dfxp -
13.2 KB
15-4.2 Substitution Exercises.mp4 -
641.6 MB
16-4.4 Elimination Exercises.en.dfxp -
15.6 KB
16-4.4 Elimination Exercises.mp4 -
725.6 MB
17-Topics.en.dfxp -
1.5 KB
17-Topics.mp4 -
49.5 MB
18-5.3 Symmetric and Identity Matrices.en.dfxp -
9.3 KB
18-5.3 Symmetric and Identity Matrices.mp4 -
121.1 MB
19-7.4 High-Dimensional Eigenvectors.en.dfxp -
7.4 KB
19-7.4 High-Dimensional Eigenvectors.mp4 -
142.5 MB
20-1.2 Solving a System of Equations Algebraically.en.dfxp -
13.0 KB
20-1.2 Solving a System of Equations Algebraically.mp4 -
115.0 MB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp -
6.6 KB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4 -
214.1 MB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp -
18.9 KB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4 -
268.9 MB
23-2.1 Tensors.en.dfxp -
7.7 KB
23-2.1 Tensors.mp4 -
98.5 MB
24-2.7 Generic Tensor Notation.en.dfxp -
9.0 KB
24-2.7 Generic Tensor Notation.mp4 -
198.7 MB
25-2.3 Vectors and Vector Transposition.en.dfxp -
19.1 KB
25-2.3 Vectors and Vector Transposition.mp4 -
285.2 MB
26-Topics.en.dfxp -
844 bytes
26-Topics.mp4 -
25.2 MB
27-3.3 Reduction.en.dfxp -
8.3 KB
27-3.3 Reduction.mp4 -
90.9 MB
28-2.4 Norms and Unit Vectors.en.dfxp -
29.6 KB
28-2.4 Norms and Unit Vectors.mp4 -
321.3 MB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp -
8.4 KB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4 -
80.9 MB
30-4.3 The Elimination Strategy.en.dfxp -
6.5 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 -
598.9 MB
32-5.1 Matrix-by-Vector Multiplication.en.dfxp -
20.2 KB
32-5.1 Matrix-by-Vector Multiplication.mp4 -
756.7 MB
33-3.4 The Dot Product.en.dfxp -
11.7 KB
33-3.4 The Dot Product.mp4 -
154.0 MB
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp -
22.6 KB
34-5.5 Machine Learning and Deep Learning Applications.mp4 -
325.3 MB
35-6.1 The Frobenius Norm.en.dfxp -
6.5 KB
35-6.1 The Frobenius Norm.mp4 -
111.9 MB
36-7.1 The Eigenconcept.en.dfxp -
15.2 KB
36-7.1 The Eigenconcept.mp4 -
402.7 MB
37-6.3 Diagonal Matrices.en.dfxp -
6.9 KB
37-6.3 Diagonal Matrices.mp4 -
125.7 MB
38-7.2 Exercises.en.dfxp -
14.4 KB
38-7.2 Exercises.mp4 -
700.7 MB
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp -
11.1 KB
39-8.1 The Determinant of a 2 x 2 Matrix.mp4 -
146.5 MB
40-Topics.en.dfxp -
1.4 KB
40-Topics.mp4 -
46.3 MB
41-8.3 Exercises.en.dfxp -
7.7 KB
41-8.3 Exercises.mp4 -
294.4 MB
42-8.2 The Determinants of Larger Matrices.en.dfxp -
15.0 KB
42-8.2 The Determinants of Larger Matrices.mp4 -
141.9 MB
43-8.4 Determinants and Eigenvalues.en.dfxp -
14.6 KB
43-8.4 Determinants and Eigenvalues.mp4 -
177.5 MB
44-9.4 Regression via Pseudoinversion.en.dfxp -
24.4 KB
44-9.4 Regression via Pseudoinversion.mp4 -
288.0 MB
45-9.2 Media File Compression.en.dfxp -
12.2 KB
45-9.2 Media File Compression.mp4 -
138.6 MB
46-9.1 Singular Value Decomposition.en.dfxp -
14.3 KB
46-9.1 Singular Value Decomposition.mp4 -
194.5 MB
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp -
17.6 KB
47-9.3 The Moore-Penrose Pseudoinverse.mp4 -
240.4 MB
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp -
7.4 KB
48-9.6 Resources for Further Study of Linear Algebra.mp4 -
145.4 MB
49-1.4 Historical and Contemporary Applications.en.dfxp -
14.1 KB
49-1.4 Historical and Contemporary Applications.mp4 -
252.6 MB
50-2.2 Scalars.en.dfxp -
42.3 KB
[TGx]Downloaded from torrentgalaxy.to .txt -
585 bytes
51-2.6 Matrices.en.dfxp -
14.3 KB
51-2.6 Matrices.mp4 -
189.9 MB
52-2.8 Exercises.en.dfxp -
3.7 KB
52-2.8 Exercises.mp4 -
85.3 MB
53-Topics.en.dfxp -
943 bytes
53-Topics.mp4 -
29.9 MB
54-6.5 The Trace Operator.en.dfxp -
7.3 KB
54-6.5 The Trace Operator.mp4 -
114.7 MB
55-7.3 Eigenvectors in Python.en.dfxp -
57.3 KB
55-7.3 Eigenvectors in Python.mp4 -
700.9 MB
56-8.5 Eigendecomposition.en.dfxp -
25.8 KB
56-8.5 Eigendecomposition.mp4 -
443.3 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 -
86.4 MB
58-9.5 Principal Component Analysis.en.dfxp -
13.5 KB
58-9.5 Principal Component Analysis.mp4 -
207.3 MB
Related torrents
| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2023-07-01 | 3.8 MB | 42 | 4 | ||
| 2025-09-26 | 65.0 MB | 16 | 0 | ||
| 2026-03-01 | 52.2 MB | 16 | 1 | ||
| 2023-06-02 | 14.4 GB | 13 | 9 | ||
| 2025-08-26 | 59.3 MB | 13 | 5 | ||
| 2025-01-13 | 333.3 MB | 12 | 1 | ||
| 2023-07-01 | 186.7 MB | 11 | 6 | ||
| 2023-07-01 | 6.7 MB | 11 | 0 | ||
| 2023-07-01 | 15.5 MB | 9 | 0 | ||
| 2024-09-11 | 6.9 MB | 6 | 3 |
Note :
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Linear Algebra for Machine Learning Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Linear Algebra for Machine Learning via Magnet Download Link.Comments (0 Comments)
Please login or create a FREE account to post comments
Advertisement
