19-1_machinelearning's Introduction

Machine Learning

POSTECH 19-1 ME Course from iAI

Optimization

Analytic Approach (CVXPY, Least-Square Solution)
Iterative Approach (Gradient Descent)

Regression

Linear Regression using Linear Algebra or CVXPY
Overfitting, Residual Summation of Squares
Polynomial basis, RBF basis
Ridge(L2) and Lasso(L1) Regularization
De-noising
Total Variation

Nonlinear Regression is nonlinear relationship between X (input vector or input space using kernel) and theta (regression parameters)

Classification

Perceptron
Support Vector Machine (SVM)
Logistic Regression

Clustering

K-means Clustering

Dimensionality Reduction

Monte Carlo Simulation
Principal Component Analysis (PCA)
Linear (Fisher) Discriment Analysis (LDA, FDA)
Singular Value Decomposition (SVD)

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