Course Schedule - Fall Semester 2021

     

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.

COMP 641 001 (CRN: 14610)

INTERACTIVE MACH LEARNING

Long Title: GRADUATE SEMINAR ON INTERACTIVE MACHINE LEARNING
Department: Computer Science
Instructor: Unhelkar, Vaibhav
Meeting: 2:00PM - 3:29PM F (23-AUG-2021 - 3-DEC-2021) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Seminar
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1 TO 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: 9
Enrollment data as of: 13-APR-2024 6:57AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Many applications of machine learning involve humans in the loop (e.g., the programmer implementing the algorithm, the domain expert specifying the features/labels, or the end user making decisions using the learned model). This course is a discussion-based seminar focusing on the design, analysis, and evaluation of machine learning techniques with explicit emphasis on the human(s) in the loop. Topics include reinforcement learning with human teachers, active learning, interpretability, learning beyond labels, and human-in-the-loop Bayesian inference. Recommended Prerequisite(s): COMP 382 and STAT 315/DSCI 301 and CAAM 335 Repeatable for Credit.