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BANA 472 – 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 | 55925 | 400 | 3 | Tan, Y. | Online | Open | 40 | 9 | 5 | 5 | |
Registration Restrictions Enforced Prereqs: (BANA 371 [C-] or BANA 470 [C-] or BA 474 [C-] ) and (BANA 372 [C-] or BANA 471 [C-] or BA 475 [C-] ) Class Limitations: -1, -2, -3 (Freshman, Sophomore, Junior) | |||||||||||
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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