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０. Mathematical principles
- Linear Algebra
-> Derivation of regression line
-> SVM
-> Model regularization
-> Neural network training
- Vector Calculus
-> Span
-> Vector Norms : vector norms란 벡터의 크기를 측정하는 것이다.
머신러닝 에서 overfitting은 좋지 않음
- Probability and Distribution
- Analytic Geometry
1. Matrices
- Orthogonal Matrix
- Diagonal Matrix
- Symmetric Matrix
- Matrix Decomposition
2. Regularize Data
3. Represent Data
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