10601 Fall 2019 Homeworks:
HW1: Background
HW2: Decision Trees(programming)
HW3: KNN, Perceptron, Linear Regression, Desision Trees
HW4: Logistic Regression(programming)
HW5: Neural Networks(programming)
HW6: Reinforcement Learning(programming)
HW7: MLE/MAP, Naive Bayes, Hidden Markov Models(programming)
HW8: PCA, SVMs, Graphical Models, Baum Welch, Ensemble Methods/Recommender Systems