1장 · Introduction

• Introduction to Machine Learning

2장 · Mathematical Foundation

• Linear Algebra and Probability

3장 · Linear Regression

• Linear Regression I
• Linear Regression II
• Python: Linear Regression

4장 · Linear Classification

• Linear Classification I
• Linear Classification II
• Python: Perceptron and Logistic Regression
• Python: Scikit-Learn Classification

5장 · Support Vector Machine

• Convex Optimization
• Support Vector Machine

6장 · Decision Tree and Random Forest

• Decision Tree and Random Forest
• Python: Decision Tree and Random Forest

7장 · Probabilistic Inference

• Information Theory
• MLE and MAP

8장 · Model Evaluation

• Model Selection and Regularization
• Python: Regularization
• Python: Model Evaluation

9장 · Clustering

• K-Means Clustering
• Mixture of Gaussian Clustering
• Python: Clustering

10장 · Dimensionality Reduction

• Dimensional Reduction
• Python: Dimensional Reduction

11장 · Neural Networks and Backpropagation

• Neural Network and Backpropagation I
• Neural Network and Backpropagation II
• Python: Neural Network and Backpropagation

12장 · Convolutional Neural Network

• Image Convolution
• Convolutional Neural Network
• Python: Neural Network and Convolutional Neural Network

보충 · Python 기초

• Python: Basics
• Python: Advances

보충 · Help Desk

• Help Desk I
• Help Desk II