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Ecampus Schedule of Classes - All Terms
BANA 572 – Machine Learning and Text Mining for Business (3)
Examines how machine learning (ML) and natural language processing (NLP) technologies can be used to improve decision-making. Covers the fundamental principles and techniques of ML, NLP, and uses real-world examples and cases to place ML and NLP techniques in context. Provides hands-on experience with ML and NLP software. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
Continue to Registration.
| Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sp26 | 56499 | 400 | 3 | Kaskela, T. | Online | Open | 40 | 40 | 0 | 0 | |
| Registration Restrictions Enforced Prereqs: (BA 574 [B-] or BANA 570 [B-] ) and (BA 575 [B-] or BANA 571 [B-] ) Major Restrictions: +2047, +2059, +CG14 (Marketing Insights and Analytics, Business Analytics, Business Analytics) | |||||||||||
| Class Notes: This course requires online proctored testing, which may include testing fees and the use of security measures, suchas a scan of your testing environment and the requiredinstallation of a desktop application. Please carefully review online proctored test information at: | |||||||||||
| Syllabus: Available in Canvas to students enrolled in this course. | |||||||||||
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