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STAT GU4241 Statistical Machine Learning. 0 points.

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.

Spring 2018: STAT GU4241
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4241 001/60153 F 2:40pm - 5:25pm
417 International Affairs Bldg
Linxi Liu 0 28/35
STAT 4241 001/60153 M W 8:40am - 9:55am
903 School Of Social Work
Linxi Liu 0 28/35

Statistics

http://bulletin.columbia.edu/general-studies/undergraduates/majors-concentrations/statistics/

The Statistics Department Office: 1005 School of Social Work (1255 Amsterdam Avenue); 212-851-2132 http://www.stat.columbia.edu

Statistics

http://bulletin.columbia.edu/barnard-college/courses-instruction/statistics/

...science courses STAT GU4206 Statistical Computing and Introduction to Data Science , STAT GU4241 Statistical Machine...

Statistics

http://bulletin.columbia.edu/columbia-college/departments-instruction/statistics/

...science courses STAT GU4206 Statistical Computing and Introduction to Data Science , STAT GU4241 Statistical Machine...