Course Schedule - Fall Semester 2023

     

COMP 341 001 (CRN: 14423)

PRACTICAL MACHINE LEARNING

Long Title: PRACTICAL MACHINE LEARNING FOR REAL WORLD APPLICATIONS
Department: Computer Science
Instructor: Yao, Vicky
Meeting: 4:00PM - 5:15PM TR HRZ 210 (21-AUG-2023 - 1-DEC-2023) 
Session: 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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: COMP 182 AND (MATH 102 OR MATH 106)
Section Max Enrollment: 75
Section Enrolled: 67
Enrollment data as of: 26-FEB-2024 2:37AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
6-DEC-2023  
2:00PM - 5:00PM W TBA TBA
 
Description: This course teaches practical skills for using machine learning models. Students will learn how to apply ML algorithms to real world problems from data collection to the final step of reporting findings. Topics covered include: data augmentation, bias detection, feature engineering, efficient tuning and training, model interpretation, and data storytelling. Recommended Prerequisite(s): MATH 355/354/CAAM 335/CMOR 302, STAT 310/315/DSCI 301