Course Schedule - Fall Semester 2021

     

DSCI 303 001 (CRN: 12277)

MACHINE LEARNING FOR DS

Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Instructor: Sano, Akane
Meeting: 4:00PM - 5:15PM TR HRZ 210 (23-AUG-2021 - 3-DEC-2021) 
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: (DSCI 301 OR STAT 315 OR STAT 310) AND (DSCI 302 OR COMP 330)
Section Max Enrollment: 20
Section Enrolled: 23
Enrollment data as of: 8-AUG-2022 5:21PM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
13-DEC-2021  
2:00PM - 5:00PM M HRZ 210
 
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.