Machine Learning and Neural Networks

Catalog description

This course introduces students to the principles and techniques of machine learning and neural networks. Students will learn about supervised and unsupervised learning algorithms, feature selection, model evaluation, and optimization techniques. The course covers various machine learning models, including linear and logistic regression, decision trees, support vector machines, and neural networks.