CIS 401 - Introduction to Machine Learning
- Recent Professors
- Mohammed Akhoirshida
- Recent Semesters
- Fall 2026, Fall 2025
- Class Size
- 35–40 students
- Credits
- 4
- Prerequisite
- CIS 400
- Fall 2026 Sections
- View Fall 2026 sections of CIS 401
- Transfers To
- CSU
- Description
- This course covers critical machine learning algorithms in AI, including classification (perceptrons, SVMs, Gaussian discriminant analysis), regression techniques (linear, logistic, polynomial, ridge, and Lasso), density estimation (MLE), dimensionality reduction (PCA and random projection), and clustering (k-means and hierarchical).