- Class Dates
- 01/16/2024 to 05/03/2024
- Units
- 3.0
- Delivered By
- Online Asynchronous
- Instructor(s)
-
William Hsu
(bhsu@ksu.edu) - Meeting Times
- Meets by Appt
- Meeting Location
- Distance Education
Machine Learning and Pattern Recognition
CIS 732 - Class Number: 13908
Description:
Theory and methodology of inductive learning, including decision trees, artificial neural networks, probabilistic and instance-based learning, and inductive logic programming; unsupervised and reinforcement learning, bagging and boosting; genetic algorithms and genetic programming; and applications to data mining.
- The textbook will be: https://probml.github.io/pml-book/book1.html
Permissions:
- Instructor William Hsu's permission is required after 01/23/2024.
Prerequisites:
- CIS 501, Software Architecture and Design or CIS 575, Introduction to Algorithm Analysis
- Enrollment Dates
- 10/23/2023 to 01/16/2024
- Enrollment Limit
- 25
Credit/Tuition Options
Enrollments received on or after the first day of class may be assessed a $65 special handling fee.
Courses in Kansas State University’s new tuition and fees structure charge by program type — campus-based or online — versus by individual course delivery format. Tuition and fees rates are available at k-state.edu/costs.