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Spring 2020 Statistics GU4241 section 001
STATISTICAL MACHINE LEARNING
Statistical Machine Learning

Call Number 46685
Day & Time
Location
MW 8:40am-9:55am
401 Chandler
Day & Time
Location
TR 2:40pm-3:55pm
327 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Linxi Liu
Type LECTURE
Method of Instruction Classroom
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 21 students (35 max) as of 5:35PM Wednesday, February 26, 2020
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 20201STAT4241W001

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SIS update 02/26/20 17:35    web update 02/26/20 21:20