Academic Calendar - 2020 ARCHIVE
Western University Academic Calendar. - 2020ARCHIVE
Statistical Sciences 3850F/G
STATISTICAL LEARNING
A course in applied statistical computing using software such as R. The primary objective of this course is to strengthen students' skills for modeling data using a variety of statistical learning tools. Key topics introduced include regression, logistic regression, discriminant analysis, model selection and regularization, cross-validation, tree-based methods and clustering.
Prerequisite(s): A minimum mark of 60% in Statistical Sciences 2858A/B or a minimum mark of 65% in Statistical Sciences 3869A/B.
Pre-or Corequisite(s): Statistical Sciences 2864A/B.
Extra Information: 2 lecture hours, 1 laboratory hours.
Course Weight: 0.50
Breadth:
CATEGORY C
i
Subject Code: STATS
This Course is Mentioned in the Following Calendar Pages:
Statistical Sciences 3850F/G
STATISTICAL LEARNING
A course in applied statistical computing using software such as R. The primary objective of this course is to strengthen students' skills for modeling data using a variety of statistical learning tools. Key topics introduced include regression, logistic regression, discriminant analysis, model selection and regularization, cross-validation, tree-based methods and clustering.
Prerequisite(s): A minimum mark of 60% in Statistical Sciences 2858A/B or a minimum mark of 65% in Statistical Sciences 3869A/B.
Pre-or Corequisite(s): Statistical Sciences 2864A/B.
Extra Information: 2 lecture hours, 1 laboratory hours.
Faculty of Science | Statistical and Actuarial Sciences | HONOURS SPECIALIZATION IN ACTUARIAL SCIENCE
Faculty of Science | Statistical and Actuarial Sciences | MAJOR IN APPLIED STATISTICS
Faculty of Science | Statistical and Actuarial Sciences | MINOR IN APPLIED STATISTICS