Practical Machine Learning

Catalog description

This course provides a practical introduction to machine learning with minimal mathematical theory. Students will learn to select appropriate models for different problems, build and evaluate models using modern statistical software, and effectively communicate results to non-technical audiences. The course emphasizes hands-on application and interpretation of machine learning.