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College of Engineering

AI 534 – Machine Learning (4)

Continuous representations. Bias-variance tradeoff. Computational learning theory. Gaussian probabilistic models. Linear discriminants. Support vector machines. Neural networks. Ensemble methods. Feature extraction and dimensionality reduction methods. Factor analysis. Principle component analysis. Independent component analysis. Cost-sensitive learning. 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.

TermCRNSecCrP/NInstructorTypeStatusCapAvailWL CapWL Avail
F24178204004Huang, L.Online Open404000
Registration Restrictions
College Limitations: +16 (Engr)
Level Limitations: +02 (Graduate)
Class Notes:

Textbooks

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.)
Find textbooks for AI 534 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

Legend
= Signifies the course as a Baccalaureate Core Course.
= Signifies that fees may apply to the course.
+ = Include restriction.
- = Exclude restriction.
* = Prereq may be taken prior to or simultaneously with this course.