[ 评估性能](https://wentao-gao.notion.site/5456e0ead92c4777b3cfdf63bf18e75b)
[Week 14: 监督学习](https://wentao-gao.notion.site/Week-14-ba84bc31d8f64118836c25d3866f903d)
Week 22: Markov Decision Process
| Supervised learning | KNN classifier |
|---|---|
| Linear regression | |
| Logistic regression | |
| Naive Bayes model | |
| Unsupervised learning | k-means clustering algorithm |
| Hierarchical Clustering algorithm | |
| Gaussian Mixture Model GMM | |
| Decision tree | Structure of decision tree |
| Information gain | |
| Pruning tree | |
| Decision tree regression | |
| Random forest | |
| Search problem | Uniform cost search |
| Heuristic search | |
| Greedy best-first search | |
| A* search | |
| A* optimization | |
| Bayesian network | Bayesian theory |
| Independence | |
| Dynamic bayesian network | |
| Hidden markov model | |
| Markov decision process | Markov decision process |
| Policy iteration | |
| Value iteration | |
| Reinforcement learning | |