CSC 462: Machine Learning (Spring 2023)

This course gives an overview of machine learning concepts, techniques, and algorithms. Topics include Linear Regression, Logistic Regression, Support Vector Machine, Decision Tree Learning, k-Nearest Neighbors, Gradient Descent, Feature Engineering, Cross Validation, Underfitting and Overfitting, Regularization, Model Performance Assessment, Neural Networks, Backpropagation, Convolutional Neural Networks, Ensemble Learning, K-Means Clustering, PCA, and practical examples.