Machine Learning Type

1. Supervised learning: input + target을 학습하는 것
   1. Classification: predict a class label
      1. binary classification
      2. multi-label classification
   2. Regression: predict a numerical label
2. Unsupervised learning: input을 학습하는 것
   1. Clustering: find groups
3. Reinforcement learning: experience를 실행하고 reward를 부여하면서 학습하는 것

아직 정리 안함. 배울 필요 없음

• KNN(K-Nearest Neighbors) algorithm k: recommend deciding odd number method to measure distance: 피타고라스 정리