STAT W4240x Data Mining 3 pts. Prerequisites: Linear Algebra, Calculus, and an introductory class in statistics. Corequisites: either STAT W3105 or W4105, and either STAT W3107 or W4107. Data Mining is a dynamic and fast growing field at the intersection of statistics and computer science, driven by the growing prevalence of large data sets. This course covers the elementary theory of bias-variance trade-offs and cross-validation in supervised learning, and surveys methods for regression, classification, and clustering. Students implement the methods on large and small data sets using a statistical package. CC/GS: Partial Fulfillment of Science Requirement.

Course
Number
Call Number/
Section
Days & Times/
Location
Instructor Enrollment
Autumn 2015 :: STAT W4240
STAT
4240
75616
001
MW 6:10p - 7:25p
501 SCHERMERHORN HALL
G. Motta 152 / 189 [ More Info ]
STAT
4240
69100
002
TuTh 6:10p - 7:25p
408 ZANKEL
D. Rabinowitz 116 / 213 [ More Info ]
STAT
4240
64043
003
Sa 8:40a - 11:25a
903 SCHOOL OF SOCIAL WORK
D. Rabinowitz 29 / 45 [ More Info ]
STAT
4240
28279
D04
Sa 8:40a - 11:25a
903 SCHOOL OF SOCIAL WORK
D. Rabinowitz 32 / 45 [ More Info ]
Spring 2016 :: STAT W4240
STAT
4240
77521
001
MW 2:40p - 3:55p
833 SEELEY W. MUDD BUILDING
L. Hannah 73 / 110 [ More Info ]
STAT
4240
69947
002
TuTh 6:10p - 7:25p
717 HAMILTON HALL
G. Motta 38 / 86 [ More Info ]