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Spring 2021 Statistics GR5241 section 005
STATISTICAL MACHINE LEARNING
STATISTICAL MACHINE LEARN

Call Number 20249
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 GR5206 or the equivalent. 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 15 students (35 max) as of 9:06PM Friday, November 26, 2021
Subject Statistics
Number GR5241
Section 005
Division Interfaculty
Open To GSAS
Campus Morningside
Section key 20211STAT5241W005

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