MATH 181DStatistical Learning
Statistical learning refers to a set of tools for modeling and understanding complex data sets. It uses developments in optimization, computer science, and in particular machine learning. This encompasses many methods such as dimensionality reduction, sparse representations, variable selection, classification, boosting, bagging, support vector machines, and machine learning.
Prerequisites
From the catalog: “ECE 109 or ECON 120A or MAE 108 or MATH 181A or MATH 183 or MATH 186 or MATH 189. Students who have not completed listed prerequisites may enroll with consent of instructor.”
Where it sits in degree plans
One of the options in (3)
- Artificial Intelligence
- Mathematics (Applied) (B.S.)
- Probability and Statistics (B.S.)