ML lec 01 - 기본적인 Machine Learning 의 용어와 개념 설명

- ML : Machine Learning 기계학습

- learning : 학습

- regression 회기

- classification 분류

---

Suervised / Unsupervised learning

• Suervised learning
  • learning with labeled examples - training set
• 지도학습
  • Training data set을 통해서
• Unsupervised learning
  • Google news groping
  • Word clustering
• 비지도학습
  • 데이터를 스스로 학습

---

Types of supervised learning

• Predicting final exam score based on time spent // 0~100
  • regression // 회기
• Pass/non - pass based on time spent // Pass or Fail
  • binary classification
• Letter grade (A, B, C, E and F) based on time spent // A+ ~ D0
  • multi-label classification