Course Schedule - Spring Semester 2025

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

STAT 613 001 (CRN: 26548)

STAT MACHINE LEARNING

Long Title: STATISTICAL MACHINE LEARNING
Department: Statistics
Instructor: Chi, Eric C.
Meeting: 1:00PM - 3:30PM W (13-JAN-2025 - 25-APR-2025) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 15
Section Enrolled: 0
Enrollment data as of: 14-NOV-2024 5:05PM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course is an advanced survey of statistical machine learning theory and methods. Emphasis will be placed methodological, theoretical, and computational aspects of tools such as regularized regression, classification, kernels, dimension reduction, clustering, graphical models, trees, and ensemble learning. Recommended Prerequisite(s): STAT 615 and STAT 605 and STAT 519. Mutually Exclusive: Cannot register for STAT 613 if student has credit for ELEC 478.