Applied Machine Learning
10:10am–11:25am
HAMILTON HALL HAM 602
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Prerequisites: STAT UN2103. Students without programming experience in R might find STAT UN2102 very helpful. This course is a machine learning class from an application perspective. We will cover topics including data-based prediction, classification, specific classification methods (such as logistic regression and random forests), and basics of neural networks. Programming in homeworks will require R
Reviews
Course experience
Aggregated across everyone who has taught this course.
No reviews matched yet.
Instructor quality
Aggregated across every course Michael Weylandt Jr. has taught.
No reviews matched yet.
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
From CULPA and Reddit reviews matched to this course.
No reviews matched yet.