Supervised Machine Learning
QST BA 810
The internet has become a ubiquitous channel for reaching consumers and gathering massive amounts of business-intelligence data. This course will teach students how to perform hands-on analytics on such datasets using modern supervised machine learning techniques through series a lectures and in-class exercises. Students will analyze data using the R programming language, derive actionable insights from the data, and present their findings. The goal of the course is to create an understanding of modern supervised machine learning methods, and the types of problems to which they can be applied.
FALL 2023 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Sahoo | HAR 222 | MW 9:25 am-12:10 pm |
FALL 2023 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
B1 | Sahoo | HAR 222 | MW 2:30 pm-5:15 pm |
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.