Modify Your Search
Search Results
Your search for · STAT 270 · during 27WI · returned 1 result
-
STAT 270 Statistical Learning 6 credits
Statistical learning (sometimes called statistical machine learning) centers on the discovery of structural patterns and making predictions using complex data sets. This course explores supervised and unsupervised statistical learning methods, and the ethical considerations of their use. Topics may include nonparametric regression, classification, cross validation, linear model selection techniques and regularization, and clustering. Students will implement these concepts using open-source computational tools, such as the R language.
Not open to students who have received credit for CS 320
- Winter 2027
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
-
Student has completed any of the following course(s): STAT 230 with a grade of C- or better AND has NOT taken CS 320.