AI

1. ML - Machine Learning

1.1. Algorithm

1.1.1. Supervised Learning

1.1.1.1. Regression vs Classification vs both

1.1.1.2. Simple/Multiple Linear Regression

1.1.1.3. Polynomial Regression (hồi quy đa thức)

1.1.1.4. Logistic Regression

1.1.1.5. Support Vector Machine

1.1.1.6. K-nearest Neighbor

1.1.1.7. Naive Bayes

1.1.1.8. Decision Tree

1.1.2. Unsupervised Learning

1.1.2.1. K-means Clustering

1.1.3. Reinforcement Learning

1.2. Ensemble Learning

1.2.1. Bagging vs Boosting vs Stacking

1.2.2. Bagging: Random Forest

2. DL - Deep Learning

2.1. Neural Network