Machine Learning

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