# ML Notes

## Contents

Review of Linear Algebra

Linear Regression

Review of Probability

Bayesian Classifier

MAP, MLE

Linear Discriminant Analysis

Gaussian Mixture Model & EM

Kernel Density Estimation- Non-Parametric

Logistic Regression

Softmax Regression (Multinomial Logistic Regression)

k-NN

Clustering

SVM

PCA/Dimension Reduction

Decision Tree

HMM

Ensemble

## Reference

\[TAMU] <https://psi.engr.tamu.edu/courses/>

\[VT] <https://filebox.ece.vt.edu/~jbhuang/teaching/ECE5424-CS5824/sp19/>

\[패] 패턴인식 개론, MATLAB, 한학용

\[오] 패턴인식, 오일석

\[오2] 기계학습, 오일석

\[H] Math for Machine Learning, Richard Han
