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STAT 8456  INTRODUCTION TO MACHINE LEARNING AND DATA MINING (3 credits)

This is an introduction to machine learning and data mining which covers the following topics with an emphasis on mathematical and statistical analysis: linear and nonlinear regression models, model selection and regularization methods, resampling methods, classification models, tree-based models, and unsupervised learning topics. If time allows, text mining and deep learning will also be introduced in the course. Statistical software will be used. (Cross-listed with MATH 4450, MATH 8456, STAT 4450)

Prerequisite(s)/Corequisite(s): MATH 4740/8746 with a C- or better or STAT 3800/8805 with a C- or better or permission of instructor.

Computer Engineering, Bachelor of Science

http://catalog.unomaha.edu/undergraduate/college-engineering/electrical-computer-engineering/computer-engineering-bs/

...substitute ECEN 3050 for STAT 3800 . Engineering Electives...to Parallel Computing 4450/8456 Introduction to Artificial...