DATA 441 - Advanced Applied Machine Learning

Credits: (3)
Prerequisite(s): DATA 301 (formerly DATA 310) and MATH 211
College Curriculum: COLL 400
This course focuses on creating a compelling story of data discovery where students will develop skills to access, read and analyze disparate data sources from a variety of open-access international, governmental, and private organizational databases and will learn about the challenges associated with real data. To tackle these issues, students will use a variety of advanced analytical and machine learning methods including variable selection, nonparametric regression, functional data analysis and deep learning. Students will communicate their findings through the web by creating a data science paper in HTML format that engages a broad audience to understand the data being addressed, the research methods applied, and the results obtained.
Formerly: DATA 410