CSCI547 — Machine Learning
CSCI 547 - Machine Learning CSCI 547 - Machine Learning 3 3 Introduction to the framework of learning from examples. Topics include various learning algorithms such as neural networks, Bayesian networks, and genetic algorithms, and generic learning principles such as bias/variance, MDL principle, and ethical considerations. Review statistical learning techniques, yet focuses on non-statistical techniques. Prerequisite(s): CSCI 332
Prerequisites: CSCI332