Electrical and Computer Engineering 460:
Machine Learning for Engineers (4.0 units)
Overview of machine learning, regression and classification, clustering and dimensionality reduction, loss-functions, over/under-fitting, cross-validation, kernel machines, decision trees and neural networks.
- Prerequisite: 1 from (EE 155 or BME 210 or CE 108 or CHE 305 or CSCI 103 or ISE 150 or ITP 115 or ITP 165 or ITP 168) and 1 from (EE 141 or MATH 225 or MATH 235)
- Note: Register for lecture and discussion
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31194D | 001 | Lecture | 4:00-5:50pm | Mon, Wed | 0 of 25 | Keith Chugg | DMC157 |   | |
| 31233R | 001 | Discussion | 2:00-3:50pm | Friday | 0 of 25 | GFS104 | |