|
Oct 09, 2024
|
|
|
|
STAT 452 - Introduction to Statistical Learning Units: 3 Introduction to statistical machine learning. Supervised learning including linear regression, logistic regression, and classification methods. Unsupervised learning including clustering. Re-sampling methods such as random forests, cross-validation, boosting, and bagging. Applications to data mining, statistical pattern recognition, and data processing.
Prerequisites: One of: STAT 110, STAT 303, STAT 310, STAT 315, STAT 330. Equivalent Quarter Course: STAT 4869. Possible Instructional Methods: Entirely On-ground. Grading: A-F or CR/NC (student choice).
Add to Folder (opens a new window)
|
|