Case Studies
12
Dimensionality Analysis
Linear Algebra
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Preface
1
Introduction
2
Vectors
3
Matrix
4
SLE
5
Linear Transformations
6
Eigenvalues and Eigenvectors
7
Singular Value Decomposition
8
Least Squares and Applications
9
Quadratic From
10
Linear Programming
Case Studies
11
Matrix in Forecasting
12
Dimensionality Analysis
Epilogue
References
Table of contents
12.1
Introduction
12.2
Engineering Applications
12.3
Dimensionality in Data Science
12.4
Reduction Techniques
12.5
Forecasting Applications
12.6
Model Consistency
12.7
Impact Evaluation
12.8
Challenges
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Case Studies
12
Dimensionality Analysis
12
Dimensionality Analysis
12.1
Introduction
12.2
Engineering Applications
12.3
Dimensionality in Data Science
12.4
Reduction Techniques
12.5
Forecasting Applications
12.6
Model Consistency
12.7
Impact Evaluation
12.8
Challenges
11
Matrix in Forecasting
Epilogue