---- Sept.2:
-Inverse Covariance Matrix
Inverse Covariance Matrix:
---- Sept.3:
-Ridge Regression
Ridge Regression and PCA Regression relationship:
Story behind Ridge Regression:
Derivation of Ridge Regression: （BU）
-Trace Matrix
-Frobenius Norm
---- Sept.4:
Properties of Matrices:
- Triangular Matrix:
---- Sept.5:
Binomial, Normal, Poisson Distribution:
- Natural number approximation
Maximum Likelihood Estimation:
- Intuition behind MLE
- Maximum A Posteriori
---- Sept.7:
- K-Folds Cross Validation
- Train/Test Split and Cross Validation in Python
- LASSO vs. Ridge Regression
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