Machine Learning Programming (AIDI 1002)
Machine learning uses algorithms to build mathematical models of data sets in order to make decisions without being explicitly programmed. Learning how to program a data model and describe the underlying patterns that define the model's relationship between the sets of data is a key principle in artificial intelligence. In this course, students learn how to program machine learning models using common libraries to construct artificial intelligence systems.
Credits:
| Credit Hours | Contact Hours | Lecture Hours | Lab Hours | Other |
|---|---|---|---|---|
3.000 |
42.000 |
|
|
|
[+] Prerequisites:
[+] Corequisites and Concurrent Prerequisite(s):
None
[+] Equivalents:
[-] Restrictions:
Must be enrolled in one of the following Levels:
Post Graduate
Must be enrolled in one of the following Majors:
(AIDI) Artificial Intelligence