DSCI 000/3412 - Machine Learning (3 cr.)

Prerequisites
MACT 4231

Description
Topics include: Support Vector Machines, Kernel PCA, Ensemble learning, bagging and boosting Vector Quantization, Mixture Modelling, and Expectation-Maximization, Introduction to Neural Networks. Case Studies: Face recognition, speech recognition, and more.