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Spring 2014 Statistics W4400 section 001
STATISTICAL MACHINE LEARNING
|Day & Time
|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.|
|Enrollment||79 students (100 max) as of 11:48PM Tuesday, March 11, 2014|
|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|
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