COMP 255 - Artificial Intelligence/Machine Learning

A focus on fundamental and intermediate software development environments, algorithms, libraries, and workflows when writing and running software in the overlapping spaces of artificial intelligence (AI), machine learning, and data science. Topics include optimized search, game trees, machine learning, and the use of natural language models. Unsupervised and supervised methods for cluster and classification algorithms are implemented in Python and R and applied to multiple domains.

Prerequisites
COMP 218 Data Structures or permission of instructor

Credits 1

Area
Math and Computer Science