Legacy Course Catalog
ECE 632 - Machine Learning And Data Mining
| Effectivity: | 05/19/2003 - Fall 2007 *** @ Purdue West Lafayette Traditional |
|---|---|
| Credits: | 3 |
| Instructional Types: | Lec |
| Usually Offered: | spr |
| Short Title: | Mach Learn&Data Mining |
| Description: | Machine learning is concerned with computer programs that automatically improve their performance through experience. Knowledge discovery in databases is concerned with extracting useful patterns or deviations from data using "data mining" methods. This course introduces students to the primary approaches to machine learning and data mining from a variety of fields, including inductive inference of decision trees, neural network learning, statistical learning methods, reinforcement learning, clustering, and discovery. In addition, this course introduces theoretical concepts, such as inductive bias and the PAC (Probably Approximately Correct) learning framework. Offered in alternate years. Prerequisite: ECE 30200. |
| School: | School Of Electrical And Computer Engineering |
| Department: | Electrical & Computer Engineering |
| Credit By Exam: | NO |
| Repeatable Flag: | NO |
| Temporary Flag: | NO |
| Full Time Privilege Flag: | NO |
| Honors Flag: | NO |
| Variable Title Flag: | NO |
Fall 2007 *** indicates the course was still an active course and was transferred to the Banner Catalog effective Spring 2008. This course was not expired Fall 2007.
