CIT 612 - Machine Learning (ML) Basics
- Recent Professors
- Samuel J. Addington
- Recent Semesters
- Spring 2027, Fall 2026
- Class Size
- 20–35 students
- Difficulty
- 4.5Moderateout of 10
- Credits
- 0
- Spring 2027 Sections
- View Spring 2027 sections of CIT 612
- Transfers To
- Not transferable
- Description
- This course introduces the foundational concepts and applications of Machine Learning (ML), covering topics such as the origins and evolution of ML, its impact on society, and various practical uses. By the end of the course, students will gain a fundamental understanding of ML and be able to apply selected ML tools in real-world contexts.
- Usually Held
- Thu 10:00am–10:50am, Thu 11:00am–12:50pm