Ecampus Schedule of Classes - All Terms
CS 513 – Applied Machine Learning (4)
Explores machine learning basics (variance and bias, underfitting and overfitting, etc). Reviews linear algebra and Numpy. Examines k-nearest neighbors, linear classification (perceptron and online learning), and linear and non-linear regression. Explores applications in housing price prediction (Kaggle contest) and text classification (sentiment analysis). 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 | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Individual CS 513 course data is not available at this time. Please check back later. You may also view the CS 513 course details on the OSU General Catalog & Schedule of Classes. | |||||||||||||||
Academic calendar
Currently it's summer term. See academic calendar for our quarter term schedule.
Fall term starts Sept. 23.
Winter term starts Jan. 4, 2027.
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