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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 S4241 section 001

Call Number 11097
Day & Time
MTWR 2:45pm-4:20pm
Points 3
Grading Mode Standard
Approvals Required None
Instructor Banu Baydil
Method of Instruction On-Line Only
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 05/03-06/14 (A)
Department Summer Session (SUMM)
Enrollment 5 students (35 max) as of 1:16PM Saturday, December 4, 2021
Subject Statistics
Number S4241
Section 001
Division Summer Session
Open To Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies, Summer Session
Campus Morningside
Section key 20212STAT4241S001

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