Summer 2023 Statistics S4241 section 001

STATISTICAL MACHINE LEARNING

STATISTICAL MACHINE LEARN

Call Number 10243
Day & Time
Location
MTWR 2:45pm-4:20pm
503 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Banu Baydil
Type LECTURE
Method of Instruction In-Person
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
Subterm 05/22-06/30 (A)
Department Summer Session (SUMM)
Enrollment 2 students (25 max) as of 9:05PM Wednesday, October 4, 2023
Subject Statistics
Number S4241
Section 001
Division Summer Session
Campus Morningside
Section key 20232STAT4241S001