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College of Engineering

CS 432 – Introduction to Applied Machine Learning (4)

Explores and applies machine learning models and methods including unsupervised learning and supervised learning. Focuses on gathering, cleaning, and preparing data for various analyses. Distinguishes between unsupervised methods including clustering, and dimensionality reduction and supervised modeling methods including Decision Trees, Random Forest, Naive Bayes, Support Vector Machines, and Regression). Covers Training and Testing, Confusion Matrices, x-fold cross validation, visualization options, decision science, ethical considerations, and data communication. Uses Python, Sklearn, and related Python packages/libraries. 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
Sp25596184004Gates, A.Online Open801600
Registration Restrictions
Enforced Prereqs: CS 332 [C]
College Limitations: +16 (Engr)
Class Notes: This course requires online proctored testing, which may include testing fees and the use of security measures, such as a scan of your testing environment. Please carefully review online proctor test information at: https://ecampus.oregonstate.edu/services/proctoring/.

Textbooks  [ Textbooks]

Syllabus: Available in Canvas to students enrolled in this course. Computer Science syllabi may also be found on the College of Engineering Course and Syllabus List.
Sp25596334014Gates, A.Online Closed0000
Registration Restrictions
Enforced Prereqs: CS 332 [C]
College Limitations: +16 (Engr)
Class Notes: This course requires online proctored testing, which may include testing fees and the use of security measures, such as a scan of your testing environment. Please carefully review online proctor test information at: https://ecampus.oregonstate.edu/services/proctoring/.

Textbooks  [ Textbooks]

Syllabus: Available in Canvas to students enrolled in this course. Computer Science syllabi may also be found on the College of Engineering Course and Syllabus List.
Find textbooks for CS 432 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.