| L2, Likelihood, DKL | Fundamentals |
| Naive Bayes | CS 229Generative |
| K-Means | CS 229Unsupervised |
| PCA | CS 229Unsupervised |
| ICA | CS 229Unsupervised |
| Factor Analysis | CS 229Unsupervised |
| Decision Trees | CS 229Trees |
| Boosting | CS 229Trees |
| Linear Classifiers (general) | CS 231NRegressions |
| Linear Regression | CS 229Regressions |
| Logistic Regression | CS 229Regressions |
| Generalized Linear Models (GLM) | CS 229Regressions |
| Kernel Methods | CS 229Regressions |
| Support Vector Machines | CS 229Regressions |
| Gaussian Processes | Regressions |
| Generative Learning Algorithms: GDA | CS 229Generative |