Machine Learning ((3))

Catalog description

This course introduces concepts of machine learning with a focus of supervised learning methods. Foundational modeling of classification and regression problems will be covered. Topics include linear discriminate analysis (LDA), logistic regression, support vector machines (SVM), maximum likelihood estimation (MLE), nearest neighbor, neural networks (NN), decision trees, decision forest, AdaBoost, convolutional NN, recurrent NN. Each week lecture meets for 150 minutes.