git checkout cs329
The course material for Machine Learning.
- Lab Introduction
- Preliminary
- Naïve-Bayes
- Linear Regression
- Decision Tree & Random Forest
- Linear Discriminant Analysis
- Neural Network
- Convolutional Neural Network
- Object Detection and Tracking
- SVM
- K-means clustering
- GMM clustering
- Markov Decision Process (MDP)
- Q-Learning
- Final Project
- Final Project
- Jia Yanhong