Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Summer 2021 Statistics S5241 section 001
STATISTICAL MACHINE LEARNING
STATISTICAL MACHINE LEARN

Call Number 11096
Day & Time
Location
MTWR 2:45pm-4:20pm
ONLINE ONLY
Points 3
Grading Mode Standard
Approvals Required None
Instructor Banu Baydil
Type LECTURE
Method of Instruction On-Line Only
Course Description Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only 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 05/03-06/14 (A)
Department Summer Session (SUMM)
Enrollment 9 students (25 max) as of 2:18PM Saturday, December 4, 2021
Subject Statistics
Number S5241
Section 001
Division Summer Session
Open To GSAS
Campus Morningside
Note STAT MA students only
Section key 20212STAT5241S001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 12/04/21 14:18    web update 12/04/21 14:21