CS476 Machine Learning

This course provides the foundations of machine learning. The course covers the topics of supervised learning (artificial neural networks, support vector machines), unsupervised learning (clustering, kernel methods), reinforcement learning, and ensemble methods. (Prerequisite: MATH303, CS341)