QDS 5311 Machine Learning and Deep Learning

This course will cover the classic topics in traditional machine learning, including linear/logistic regression, classification/regression trees and random forest, Bayesian inference and Bayesian graphic network, and support vector machines. Students will also be introduced to the basic concepts of neural network models and deep learning methods.

Credits

3

Prerequisite

QDS 5303 / QDS 5303H