AI, Bigdata

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AI, Bigdata 저자: Mind Map: AI, Bigdata

1. 통계

2. 선형대수

3. Machine learning

3.1. Supervised learning

3.1.1. Classification

3.1.1.1. Decision tree

3.1.1.2. Ensemble

3.1.1.2.1. Voting

3.1.1.2.2. Bagging

3.1.1.2.3. Boosting

3.1.2. Prediction

3.1.2.1. Regression

3.1.2.1.1. Linear regression

3.1.2.1.2. Non-Linear regression

3.2. Unsupervised learning

3.2.1. Clustering

3.3. preprocessing

3.3.1. Scaling

3.3.2. Encoding

3.4. 평가지표

3.4.1. Accuracy

3.5. 인공신경망

3.5.1. Deep learning

3.5.1.1. Supervised learning

3.5.1.1.1. Image classification

3.5.1.1.2. Time series analysis

3.5.1.2. Unsupervised learning

3.5.1.2.1. Clustering

4. Database

4.1. 관계형 DB(RDB)

4.2. 비관계형 DB(NOSQL)

5. AI분야

5.1. 자연어 처리

5.2. Computer vision

5.3. 추천시스템

6. Time series

6.1. AR

6.2. MA

6.3. ARIMA

6.4. LSTM

6.5. FBprophet