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Spring 2021 Statistics GU4241 section 001
STATISTICAL MACHINE LEARNING
STATISTICAL MACHINE LEARN

Call Number 13165
Day & Time
Location
TR 2:40pm-3:55pm
417 Mathematics Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Xiaofei Shi
Type LECTURE
Method of Instruction Hybrid
Course Description Prerequisites: STAT GU4206. The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
Web Site Vergil
Department Statistics
Enrollment 5 students (35 max) as of 9:06PM Friday, November 26, 2021
Subject Statistics
Number GU4241
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, General Studies, Professional Studies
Campus Morningside
Note Undergraduate students only
Section key 20211STAT4241W001

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SIS update 11/26/21 21:06    web update 11/26/21 21:23