(ML) Learning의 유형

Learning에서 대표적인 유형은 4가지로 아래와 같다.

 

1. Supervised(inductive) learning [지도 학습]

- Training data + desired outputs (labels)

= Regression

 

 

2. Unsupervised learning [비지도 학습]

- Training data (without desired outputs)

= Clustering

 

 

3. Semi-supervised learning [준지도 학습]

- Training data + a few desired outputs

= Learning both with labeled and non-labeled data

 

 

4. Reinforcement learning [강화 학습]

- Rewards from sequence of actions

= Trial & Error, Delayed rewards

 

 

 

[참고]

https://ko.wikipedia.org/wiki/%EC%A7%80%EB%8F%84_%ED%95%99%EC%8A%B5