Linear Algebra for Machine Learning | 8BE0A0BD9DF415AE204ED438FAAA2EC47386E827

Linear Algebra for Machine Learning

Name	Linear Algebra for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	15.5 GB
Total Files	118
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Hash	8BE0A0BD9DF415AE204ED438FAAA2EC47386E827

/[TutsNode.com] - Linear Algebra for Machine Learning/
50-2.2 Scalars.mp4	1.0 GB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
[TutsNode.com] - Linear Algebra for Machine Learning/
01-Topics.en.dfxp	1.3 KB
01-Topics.mp4	42.4 MB
02-Topics.en.dfxp	1.6 KB
02-Topics.mp4	47.2 MB
03-3.1 Tensor Transposition.en.dfxp	6.9 KB
03-3.1 Tensor Transposition.mp4	96.7 MB
04-3.5 Exercises.en.dfxp	9.8 KB
04-3.5 Exercises.mp4	436.8 MB
05-3.2 Basic Tensor Arithmetic.en.dfxp	11.3 KB
05-3.2 Basic Tensor Arithmetic.mp4	150.9 MB
06-Topics.en.dfxp	1.0 KB
06-Topics.mp4	31.2 MB
07-5.4 Exercises.en.dfxp	14.9 KB
07-5.4 Exercises.mp4	660.4 MB
08-6.4 Orthogonal Matrices.en.dfxp	8.5 KB
08-6.4 Orthogonal Matrices.mp4	132.1 MB
09-6.2 Matrix Inversion.en.dfxp	29.4 KB
09-6.2 Matrix Inversion.mp4	319.6 MB
10-Topics.en.dfxp	1.1 KB
10-Topics.mp4	33.8 MB
11-Topics.en.dfxp	1.7 KB
11-Topics.mp4	56.1 MB
12-1.1 Defining Linear Algebra.en.dfxp	12.1 KB
12-1.1 Defining Linear Algebra.mp4	176.2 MB
13-1.5 Exercise.en.dfxp	15.3 KB
13-1.5 Exercise.mp4	682.8 MB
14-4.1 The Substitution Strategy.en.dfxp	6.8 KB
14-4.1 The Substitution Strategy.mp4	283.9 MB
15-4.2 Substitution Exercises.en.dfxp	13.5 KB
15-4.2 Substitution Exercises.mp4	672.8 MB
16-4.4 Elimination Exercises.en.dfxp	16.0 KB
16-4.4 Elimination Exercises.mp4	760.8 MB
17-Topics.en.dfxp	1.5 KB
17-Topics.mp4	51.9 MB
18-5.3 Symmetric and Identity Matrices.en.dfxp	9.5 KB
18-5.3 Symmetric and Identity Matrices.mp4	127.0 MB
19-7.4 High-Dimensional Eigenvectors.en.dfxp	7.6 KB
19-7.4 High-Dimensional Eigenvectors.mp4	149.4 MB
20-1.2 Solving a System of Equations Algebraically.en.dfxp	13.3 KB
20-1.2 Solving a System of Equations Algebraically.mp4	120.6 MB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.en.dfxp	6.8 KB
21-Linear Algebra for Machine Learning (Machine Learning Foundations) - Introduction.mp4	224.5 MB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.en.dfxp	19.4 KB
22-1.3 Linear Algebra in Machine Learning and Deep Learning.mp4	281.9 MB
23-2.1 Tensors.en.dfxp	7.9 KB
23-2.1 Tensors.mp4	103.3 MB
24-2.7 Generic Tensor Notation.en.dfxp	9.2 KB
24-2.7 Generic Tensor Notation.mp4	208.3 MB
25-2.3 Vectors and Vector Transposition.en.dfxp	19.6 KB
25-2.3 Vectors and Vector Transposition.mp4	299.1 MB
26-Topics.en.dfxp	0.8 KB
26-Topics.mp4	26.4 MB
27-3.3 Reduction.en.dfxp	8.6 KB
27-3.3 Reduction.mp4	95.3 MB
28-2.4 Norms and Unit Vectors.en.dfxp	30.3 KB
28-2.4 Norms and Unit Vectors.mp4	337.0 MB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.en.dfxp	8.6 KB
29-2.5 Basis, Orthogonal, and Orthonormal Vectors.mp4	84.8 MB
30-4.3 The Elimination Strategy.en.dfxp	6.6 KB
30-4.3 The Elimination Strategy.mp4	322.8 MB
31-5.2 Matrix-by-Matrix Multiplication.en.dfxp	19.0 KB
31-5.2 Matrix-by-Matrix Multiplication.mp4	628.0 MB
32-5.1 Matrix-by-Vector Multiplication.en.dfxp	20.6 KB
32-5.1 Matrix-by-Vector Multiplication.mp4	793.4 MB
33-3.4 The Dot Product.en.dfxp	12.0 KB
33-3.4 The Dot Product.mp4	161.4 MB
34-5.5 Machine Learning and Deep Learning Applications.en.dfxp	23.1 KB
34-5.5 Machine Learning and Deep Learning Applications.mp4	341.1 MB
35-6.1 The Frobenius Norm.en.dfxp	6.6 KB
35-6.1 The Frobenius Norm.mp4	117.3 MB
36-7.1 The Eigenconcept.en.dfxp	15.6 KB
36-7.1 The Eigenconcept.mp4	422.3 MB
37-6.3 Diagonal Matrices.en.dfxp	7.1 KB
37-6.3 Diagonal Matrices.mp4	131.8 MB
38-7.2 Exercises.en.dfxp	14.8 KB
38-7.2 Exercises.mp4	734.7 MB
39-8.1 The Determinant of a 2 x 2 Matrix.en.dfxp	11.4 KB
39-8.1 The Determinant of a 2 x 2 Matrix.mp4	153.7 MB
40-Topics.en.dfxp	1.4 KB
40-Topics.mp4	48.5 MB
41-8.3 Exercises.en.dfxp	7.9 KB
41-8.3 Exercises.mp4	308.7 MB
42-8.2 The Determinants of Larger Matrices.en.dfxp	15.3 KB
42-8.2 The Determinants of Larger Matrices.mp4	148.8 MB
43-8.4 Determinants and Eigenvalues.en.dfxp	14.9 KB
43-8.4 Determinants and Eigenvalues.mp4	186.1 MB
44-9.4 Regression via Pseudoinversion.en.dfxp	25.0 KB
44-9.4 Regression via Pseudoinversion.mp4	302.0 MB
45-9.2 Media File Compression.en.dfxp	12.5 KB
45-9.2 Media File Compression.mp4	145.3 MB
46-9.1 Singular Value Decomposition.en.dfxp	14.6 KB
46-9.1 Singular Value Decomposition.mp4	204.0 MB
47-9.3 The Moore-Penrose Pseudoinverse.en.dfxp	18.0 KB
47-9.3 The Moore-Penrose Pseudoinverse.mp4	252.1 MB
48-9.6 Resources for Further Study of Linear Algebra.en.dfxp	7.6 KB
48-9.6 Resources for Further Study of Linear Algebra.mp4	152.5 MB
49-1.4 Historical and Contemporary Applications.en.dfxp	14.4 KB
49-1.4 Historical and Contemporary Applications.mp4	264.8 MB
50-2.2 Scalars.en.dfxp	43.3 KB
51-2.6 Matrices.en.dfxp	14.6 KB
51-2.6 Matrices.mp4	199.1 MB
52-2.8 Exercises.en.dfxp	3.8 KB
52-2.8 Exercises.mp4	89.4 MB
53-Topics.en.dfxp	0.9 KB
53-Topics.mp4	31.3 MB
54-6.5 The Trace Operator.en.dfxp	7.5 KB
54-6.5 The Trace Operator.mp4	120.2 MB
55-7.3 Eigenvectors in Python.en.dfxp	58.7 KB
55-7.3 Eigenvectors in Python.mp4	735.0 MB
56-8.5 Eigendecomposition.en.dfxp	26.4 KB
56-8.5 Eigendecomposition.mp4	464.9 MB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.en.dfxp	2.6 KB
57-Linear Algebra for Machine Learning (Machine Learning Foundations) - Summary.mp4	90.6 MB
58-9.5 Principal Component Analysis.en.dfxp	13.9 KB
58-9.5 Principal Component Analysis.mp4	217.4 MB
Total files 118