Machine Learning I
| Course | Course Title | Class | Lab/ Shop | Clinical/ Co-op | Credit |
|---|---|---|---|---|---|
| CSC 115 | Machine Learning I | 2 | 3 | 0 | 3 |
| Prerequisites: None | |||||
| Corequisites: None | |||||
| Effective Term: Fall 2020 | |||||
This course covers algorithms for enabling artificial systems. Topics include machine learning from experience, supervised and unsupervised learning, reinforcement learning control, and learning theory. Upon completion, students should be able to demonstrate machine-learning techniques. |
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This Course can be found in these Programs of Study
- IT-Artificial Intelligence - NEW - Associate in Applied Science (Day, Online)
- IT-Artificial Intelligence - NEW - Certificate (Day, Online)
