DS 3030: Concepts and Applications of Machine Learning
Credits: 3. Contact Hours: Lecture 3.
Prereq: DS 2020, MATH 2070, MATH 2650, and STAT 3010
Machine learning concepts such as training and test sets; feature extraction; principles of machine learning techniques; regression; pattern recognition methods; unsupervised learning techniques; assessment and diagnostics: overfitting, error rates, residual analysis, model assumptions checking, feature selection; ethical issues in data science; communicating findings to stakeholders in written, oral, visual and electronic form.
(Typically Offered: Fall)