AI, Bigdata
저자: ad astra
1. 통계
2. 선형대수
3. Database
3.1. 관계형 DB(RDB)
3.2. 비관계형 DB(NOSQL)
4. Machine learning
4.1. Supervised learning
4.1.1. Classification
4.1.1.1. Decision tree
4.1.1.2. Ensemble
4.1.1.2.1. Voting
4.1.1.2.2. Bagging
4.1.1.2.3. Boosting
4.1.2. Prediction
4.1.2.1. Regression
4.1.2.1.1. Linear regression
4.1.2.1.2. Non-Linear regression
4.2. Unsupervised learning
4.2.1. Clustering
4.3. preprocessing
4.3.1. Scaling
4.3.2. Encoding
4.4. 평가지표
4.4.1. Accuracy
4.5. 인공신경망
4.5.1. Deep learning
4.5.1.1. Supervised learning
4.5.1.1.1. Image classification
4.5.1.1.2. Time series analysis
4.5.1.2. Unsupervised learning
4.5.1.2.1. Clustering
5. AI분야
5.1. 자연어 처리
5.2. Computer vision
5.3. 추천시스템
5.3.1. 콘텐츠 기반 필터링
5.3.2. 협업 필터링
5.3.2.1. 최근접 이웃 협업 필터링
5.3.2.1.1. 사용자 기반 협업 핕터링
5.3.2.1.2. 아이템 기반 협업 핕터링
5.3.2.2. 잠재요인 협업 필터링