- Norms, KNN, Decision Tree, Feature scaling
- Regression, MLE/MAP, OLS,
- Regularization Penalties, Feature Selection, Kernel Regression, Gradient Descent on Logistic Regression
- Backpropagation, CNN
- Adaboost, SVM, sklearn
- SVD, PCA (eigenface)
- Missing Data Imputation, K-Means, EM
- Performance Measure, Autoencoder
- Bayes Network, Belief Net
- RL, MDP, Q-learning
- RNN, GPT-2, AutoML