ECE 447 - Data Analysis and Machine Learning for Engineers

3.5 units (fi 8)(EITHER, 3-1S-0)

Faculty of Engineering

The course introduces basic concepts and techniques of data analysis and machine learning. Topics include: data preprocessing techniques, decision trees, nearest neighbor algorithms, linear and logistic regressions, clustering, dimensionality reduction, model evaluation, deployment methods, and emerging topics. Prerequisites: ECE 220 or CMPUT 275, and ECE 342 or STAT 235, or consent of instructor.