CISC 620 - Principles of Machine Learning

(3 semester hours)
Prerequisites: CISC 530, CISC 600, and CISC 610
Description: This course introduces the basic idea of machine learning and the application to data from real world problems. Topics include: Classification as a Problem-Solving Tool, Similarity Measures and Clustering. The Classification Process, Classification for Sentiment Analysis, Advanced Recommendations, FFT Classifiers, Computer Vision & Pattern Recognition, Dimensionality Reduction, and Big Data & Machine Learning.