Course Schedule and Catalog
Course Schedule - Fall Semester 2019
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.
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.
DSCI 303 001 (CRN: 13978)
MACHINE LEARNING FOR DS
Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Instructors:
Meeting: 4:30PM - 5:45PM TW (26-AUG-2019 - 6-DEC-2019)
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):
Undergraduate
Prerequisites: DSCI 301 AND DSCI 302
Section Max Enrollment: 59
Section Enrolled: 14
Enrollment data as of: 19-APR-2024 11:47PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
14-DEC-2019
2:00PM - 5:00PM S
Description: This course is an introduction to concepts, methods, best practices, and theoretical foundations
of machine learning. Topics covered include regression, classification, kernels, dimensionality
reduction, clustering, decision trees, ensemble learning, regularization, learning
theory, and neural networks. Recommended Prerequisite(s): CAAM 334 or CAAM 335 or MATH 355 Mutually Exclusive: Cannot register for DSCI 303 if student has credit for ELEC 478/ELEC 578.