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Linear Algebra for Machine Learning
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[TutsNode.com] - Linear Algebra for Machine Learning (Size: 14.43 GB) (Files: 118)
[TutsNode.com] - Linear Algebra for Machine Learning
50-2.2 Scalars.mp4
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
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
TutsNode.com.txt
[TGx]Downloaded from torrentgalaxy.to .txt
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