CS 498 AML
CS 498 AML - Applied Machine Learning
Fall 2020
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Applied Machine Learning | CS498 | AML | 70185 | E11 | 4 | - | Payam Delgosha Marco Morales Aguirre |
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Official Description
Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.
Section Description
This course will be taught on the Coursera platform. This section will have one or more proctored online exams. Proctoring options may include fee-based ProctorU and approved testing facilities that carry no fees.
Description: The course is intended to support students who wish to apply machine learning methods, and will focus on tool-oriented and problem-oriented exposition. Application areas include computer vision, natural language, interpreting accelerometer data, and understanding audio data.