Spring 2023 Statistics GR5241 section 002

STATISTICAL MACHINE LEARNING

STATISTICAL MACHINE LEARN

Call Number 14276
Day & Time
Location
F 10:10am-12:40pm
402 Chandler
Points 3
Grading Mode Standard
Approvals Required None
Instructor Chenyang Zhong
Type LECTURE
Method of Instruction In-Person
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 99 students (125 max) as of 9:05PM Thursday, March 28, 2024
Subject Statistics
Number GR5241
Section 002
Division Interfaculty
Open To GSAS
Campus Morningside
Note STAT MA students only
Section key 20231STAT5241W002