MATH 5310 - Advanced Machine Learning I

Credit Hours 3
Dual Listed: MATH 4310
Cross Listed: STAT 5310
Prerequisite: Admission to the MS or PSM in Computer Science and Quantitative Methods or instructor permission
Description: This course provides students with skills related to developing machine learning and data science processes, including data preprocessing, feature engineering, supervised learning (parametric/nonparametric, linear and nonlinear models, neural networks); unsupervised learning, model optimization, regularization, and a more formal understanding of how and why they work. Through several “hands-on” projects, students will have an opportunity to experiment with various machine learning models and apply them to real-world data sets.