CSSE 286 - Introduction to Machine Learning
- Credit Hours: 4R-0L-4C
- Term Available: -
- Graduate Studies Eligible: No
- Prerequisites: Prior programming experience
- Corequisites: None
An introduction to machine learning (ML) systems, with a focus especially on Artificial Intelligence-based systems, versus statistical ones. The course is designed to be useful to students with a basic knowledge of programming and software systems, whether or not they are computer science majors. During the course, students try different machine learning algorithms on data from problems in a domain of interest to them, comparing results with that of other students taking the class, as well as comparing the outcomes of the different algorithms on their own data. A goal of the course is learning how to gain real predictive value from “big data.”