Course Schedule - Fall Semester 2017

     

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 413 001 (CRN: 17017)

INTRO TO STAT MACHINE LEARNING

Long Title: INTRODUCTION TO STATISTICAL MACHINE LEARNING
Department: Statistics
Instructor: Allen, Genevera
Meeting: 4:00PM - 5:15PM TR (21-AUG-2017 - 1-DEC-2017) 
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:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: STAT 410 AND STAT 405 OR CAAM 210 OR COMP 140 OR COMP 130
Section Max Enrollment: 50
Section Enrolled: 19
Enrollment data as of: 14-JUL-2024 3:34AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
8-DEC-2017  
2:00PM - 5:00PM F
 
Description: This course is an introduction to concepts, methods, and best practices in statistical machine learning. Topics covered include regularized regression, classification, kernels, dimension reduction, clustering, trees, and ensemble learning. Emphasis will be placed on applied data analysis and computation. Recommended Prerequisite(s): STAT 411 and CAAM 335 or MATH 354 or MATH 355.