CS 485
Statistical and Computational Foundations of Machine Learning
Fall 2021
Topics
- Theoretical foundations of machine learning
- Theory underlying common learning algorithms
Readings
- Understanding Machine Learning: From Theory to Algorithms
2011
Topics
- Introduction to machine learning
- Theoretical foundation
- Classification
- Regression
- Dimensionality reduction
- Specific models/algorithms
Sources
- Course catalogue ↗2026–2027
- course_website ↗Fall 2021
- departmental_course_outline ↗2011
- Syllabus aims to cover the first two parts / first 20 chapters, subject to time.
- Departmental typical outline and references; assignments and textbooks may vary by term. Source revision: October 17, 2011. Year refers to the departmental revision date, not a specific offering.