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Pattern Classification and Experiment Design - 30494 - BIOM 5405 - F
Introduction to a variety of supervised and unsupervised pattern classification techniques with emphasis on correct application. Statistically rigorous experimental design and reporting of performance results. Case studies will be drawn from various fields including biomedical informatics. Also listed as SYSC 5405 (ELG 6102). Prerequisite(s): undergraduate introductory probability and statistics.
Associated Term: Fall 2019 (September-December)
Registration Dates: Jun 05, 2019 to Sep 17, 2019
Levels: Graduate Studies and Research

Main Campus Campus
Seminar Schedule Type
0.500 Credits

Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 8:35 am - 9:55 am TR Southam Hall 404 Sep 04, 2019 - Dec 06, 2019 Seminar James Green (P)



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