Course Schedule - Fall Semester 2019

     

DSCI 303 001 (CRN: 13978)

MACHINE LEARNING FOR DS

Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Instructors:
Sano, Akane
Barua, Souptik
Meeting: 4:30PM - 5:45PM TW MEL 251 (26-AUG-2019 - 6-DEC-2019) 
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
Prerequisites: DSCI 301 AND DSCI 302
Section Max Enrollment: 59
Section Enrolled: 15
Enrollment data as of: 23-JAN-2022 6:20AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
14-DEC-2019  
2:00PM - 5:00PM S DCH 1046
 
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.