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IDS 572 - Data Mining for Business

Campus: Chicago

Description:

Machine learning, statistics in data mining for business insights. Prediction, classification, trees, random forests, boosting, clustering, regularization, SVM, recommender systems, neural nets, text mining. Application to varied business contexts. Course Information: Credit is not given for IDS 572 if the student has credit for IDS 472. Recommended background: Backgound knowledge in statistics and databases.

Academic Program Restrictions:

MS: Business Analytics -UIC MS: SupplyChainOpsMgmt-UIC MS:Management Info Sys -UIC MBA:Business Admin (MBA) -UIC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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