Mar 28, 2024  
2021-2022 Cal State East Bay Catalog 
    
2021-2022 Cal State East Bay Catalog [ARCHIVED CATALOG]

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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).
Course Typically Offered: Spring ONLY


Student Learning Outcomes - Upon successful completion of this course students will be able to:
  1. Analyze large data sets to perform prediction.
  2. Analyze large data sets to perform classification.




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