Description
Design and implementation of complex analytics techniques; predictive algorithms at scale; deep learning; clustering at scale; advanced matrix decompositions, analytics in the Web, collaborative filtering; social network analysis; applications in specialized domains.
Follow-On Courses
This course appears in the pre- or co-requisites for the following course(s):
Learning Hours
120 (36 Individual Instruction, 36 Laboratory, 84 Private Study)
Prerequisite
A minimum grade of C- in CISC 251/3.0 and a minimum grade of C- in (3.0 units of STAT or 3.0 units from STAT_Options).