ESE 188
Understanding Machine Learning
Stony Brook University · UGRD · Fall 2026
1 section
Catalog description
This is a course on the basics of machine learning. Students develop an intuitive understanding of the core concepts of machine learning including supervised and unsupervised learning, classification and prediction. The course provides a number of practical examples from a wide range of disciplines including biomedicine, social sciences, and engineering. The course does not require any prerequisites in engineering or computer science.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #stony_brook-ESE188Fall 2026UGRD3 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?