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STAT UN3106 Applied Data Mining. 3 points.

Prerequisites: STAT UN2103. Students without programming experience in R might find STAT UN2102 very helpful.

This course will be taught as a machine learning class. We will cover topics including data-based prediction, classification, specific classification methods (such as logistic regression and random forests), and basics of neural networks. Programming in homeworks will require R; students without programming experience in R might find STAT UN2102 helpful.

Spring 2019: STAT UN3106
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 3106 001/60725 T Th 2:40pm - 3:55pm
Room TBA
Vincent Dorie 3 42/50

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/

...Analysis , STAT UN2104 Applied Categorical Data Analysis , STAT UN3105 Applied Statistical Methods , and STAT UN3106...

Statistics

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

...Analysis , STAT UN2104 Applied Categorical Data Analysis , STAT UN3105 Applied Statistical Methods , and STAT UN3106...