Elements of Machine Intelligence: Pattern Recognition and Machine Learning

4 credits

Introduction to pattern recognition and machine learning. Decision functions. Statistical pattern classifiers. Generative vs. discriminant methods for pattern classification. Feature selection. Regression. Unsupervised learning. Clustering. Applications of machine learning. Prerequisites: ECE 109 and ECE 174.