Machine Learning - Introduction

- 머신러닝이란?

- 머신러닝의 종류

- Supervised Learning

• Linear Regression
• Logistic Regression
• Neural Network
• K-NN
• Support Vector Machine
• Ensemble learning - Adaboost
• Decision tree, Random Forest

- Unsupervised Learning

• Clustering
• EM algorithm
• auto-encoder
• Principal Component Analysis
• Collaborate Filtering
• Semi-supervised Learning

- Reinforcement Learning

• Hidden Markov model

※ 상기 내용은 2021학년도 DGIST Introduction of Machine Learning Curriculum을 참고함.