Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 453-DL : Natural Language Processing
Description
This course reviews natural language processing with a focus on recent developments in computational linguistics and machine learning. Students work with unstructured and semi-structured text from online sources, document collections, and databases. Students learn how to parse text into numeric vectors and to convert higher dimensional vectors into lower dimensional vectors for subsequent analysis and modeling. Applications include speech recognition, semantic processing, text classification, search, recommendation systems, sentiment analysis, and topic modeling. This is a project-based course with extensive programming assignments.
This is a required course for the Artificial Intelligence specialization.
Prerequisites:(1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Sync Session Tu | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Maren, Alianna | Online | Open |
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Sync Session W | 7 – 9:30 p.m. | 56 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Srinivasan, Syamala | Online | Open |
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Sync Session W | 7 – 9:30 p.m. | 57 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Sleeman, Jennifer | Online | Open |