Convered topics in CS 189 including:
- Linear Classifiers
- SVM
- Maximum Likelihood Estimation (MLE)
- Gaussian Discriminant Analysis: QDA/LDA
- Regression (Logistic, Ridge, Least-Squares)
- Decision Trees & Random Forests
- Neutral Networks (MLP)
- Convolutional Neural Networks (CNNs) from scratch.
- PCA and SVD
- k-Means Clustering
- AdaBoost
- Nearest Neighbor