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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.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
Sp25 | 55953 | 400 | 3 | Kaskela, T. | Online | Closed | 40 | -1 | 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) Campus Restrictions: +DSC, +PDX (Dist. Degree Corvallis Student, Oregon State - Portland) | |||||||||||
Class Notes: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) |
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Currently it's spring term. See academic calendar for our quarter term schedule.
Summer term starts June 23.
Fall term starts Sept. 24.