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Spring 2014 Statistics W4400 section 001
STATISTICAL MACHINE LEARNING

Call Number 16844
Day & Time
Location
TR 4:10pm-5:25pm
310 Fayerweather
Points 3
Approvals Required None
Instructor Peter Orbanz
Type LECTURE
Course Description Prerequisites: Calculus I and Linear Algebra 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 CourseWorks
Department Statistics
Enrollment 75 students (100 max) as of 11:27PM Thursday, October 23, 2014
Final Exam Day/Time May 13
T 4:10pm-7:00pm
Final Location 310 Fayerweather
Subject Statistics
Number W4400
Section 001
Division Interfaculty
Open To Columbia College, Engineering and Applied Science: Undergraduate, General Studies, School of Continuing Education, Global Programs, Graduate School of Arts and Science, School of the Arts, International and Public Affairs, Barnard, Engineering and Applied Science: Graduate
Campus Morningside
Section key 20141STAT4400W001

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