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22:544:641

Analytics for Business Intelligence

Rutgers University 3 credits 544

Course Description

The course will cover classification (e.g., helps banks to determine who will default on a loan, or email filters to determine which emails are spam); clustering (like classification, but groups are not predefined, as in legitimate vs. spam email, so the algorithm will try to group similar email together for instance); regression (e.g., how ad campaigns in offline media such as print, audio, and TV affect online interest in the advertiser's brand); Association Rule Learning (enables merchants, for example Amazon, to determine which items customers tend to buy together and make suggestions for further purchase, otherwise known as "market basket analysis"); and Neural Nets (has helped financial agents to model complex currency market trading).

Code
22:544:641
Credits
3
Subject
544

Programs That Include This Course

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