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
Spring 2015 :: STAT W4240
STAT
4240
74705
001
MW 1:10p - 2:25p
833 SEELEY W. MUDD BUILDING
R. Mazumder 80 / 123 [ More Info ]
STAT
4240
62637
002
TuTh 7:40p - 8:55p
207 MATHEMATICS BUILDING
R. Mazumder 82 / 150 [ More Info ]
Autumn 2015 :: STAT W4240
STAT
4240
75616
001
MW 6:10p - 7:25p
501 SCHERMERHORN HALL
G. Motta 189 / 189 [ More Info ]
STAT
4240
69100
002
TuTh 6:10p - 7:25p
501 NORTHWEST CORNER
D. Rabinowitz 165 / 164 [ More Info ]
STAT
4240
64043
003
Sa 8:40a - 11:25a
903 SCHOOL OF SOCIAL WORK
D. Rabinowitz 45 / 45 [ More Info ]
STAT
4240
28279
D04
Sa 8:40a - 11:25a
903 SCHOOL OF SOCIAL WORK
D. Rabinowitz 28 / 45 [ More Info ]