Low Coupling
Low Coupling Prerequites NOTHING What is Low Coupling 1. What is Low Coupling? Low Coupling is principle of software design. Low Coupling is about keeping low depencey between functions and...
Low Coupling Prerequites NOTHING What is Low Coupling 1. What is Low Coupling? Low Coupling is principle of software design. Low Coupling is about keeping low depencey between functions and...
Stable Control Flow Prerequites do ~ while break pointer allocation deallocation What is Stable Control Flow 1. What is Stable Control Flow? All of developer face a difficult situation that...
Coding Convention Prerequites Data Type What is Coding Convention 1. What is Coding Convention? Coding Convention is kind of appointment of team about code variable name. We sometimes see t...
Matrix Calculus Matrix Calculus Calculus What is Matrix Calculus 1. What is Matrix Calculus? Matrix calculus is widely used in machine learning, optimization, computer vision, and statistic...
Pseudo-Inverse Matrix Pseudo-Inverse Matrix Transpose Inverse What is Pseudo-Inverse Matrix 1. What is Pseudo-Inverse Matrix? When we want to get optimal solution and the transformation hav...
Symmetric Matrix Prerequisites NOTHING What is Symmetric Matrices 1. What is Symmetric Matrices? A matrix $A \in \mathbb{R}^{n \times n}$ is symmetric if [A = A^T] Example: [A = \begin{b...
SVD Prerequisites eigenvector eigenvalue eigen decomposition What is SVD 1. What is PCA? Singular Value Decomposition (SVD) is a fundamental matrix factorization technique in linear algebra...
PCA Prerequisites eigenvector eigenvalue eigen decomposition What is PCA 1. What is PCA? Principle Component Analysis(PCA) is a technique used to find the directions in which data variance ...
Eigenvectors and Eigenvalues Prerequisites transformation What is Eigenvectors and Eigenvalues 1. What is Eigenvectors and Eigenvalues? The eigenvectors and eigenvalues are related with tra...
Cross Product Prerequisites Determinant Dot Product What is Cross Product 1. What is Cross Product? For two vectors in $\mathbb{R}^3$: [v = \begin{bmatrix} v_1 v_2 v_3 \end{bmatrix},\qqu...