CIS 550: Advanced Machine Learning - fall
Prerequisite: CIS 360 Algorithms & Data Structures or equivalent, or permission of instructor
Advanced coverage of machine learning algorithms and applications to computer vision, data mining and social media. Specifically, the course focuses on data pre-processing, feature extraction, supervised/unsupervised learning, graphical model, deep learning, and other advanced machine learning topics. The course will also explore several real-world problems, e.g., visual detection/recognition, topics discovery, social media analytics using machine learning approaches.
| 2023 Fall | ||||||||
|---|---|---|---|---|---|---|---|---|
| Class# | Sct | Type | Seats | Units | ||||
| 10830 | 01 | Lecture | 75 | 3.00 | ||||
| Days | Start | End | Location | |||||
| MON TUE WED THU FRI SAT | 11:00 AM EDT | 12:15 PM EDT | Library Lecture Hall 206 | |||||
| Instructor: Ashokkumar Patel | Class status: O | |||||||
| Prerequisite: CIS 360 Algorithms & Data Structures or equivalent, or permission of instructor | ||||||||
| Enrollment Section | ||||||||
| Class instruction mode: In Person | ||||||||