Machine Learning Visualized - Weidong's Study Notes

Chapters

1. Probability Distributions
2. Regression and Classification
3. Neural Networks
4. Graphical Models
5. Mixture Models
6. Approximate Inference
7. Pseudo-random Number Sampling Methods
8. Continuous Latent Variables
9. Sequential Data
10. Combining Models
11. Machine Learning Systems In Application